CN116036427A - Fan control method, ventilator and computer readable medium - Google Patents

Abstract

Embodiments of the present disclosure disclose a fan control method, a ventilator, and a computer-readable medium. A specific implementation of the method includes: determining the operation mode of the target ventilator; obtaining the preset ventilation pressure value, the target ventilation flow value and the output ventilation pressure value of the target ventilator; generating the target ventilator according to the operation mode and the preset ventilation pressure value Inspiratory pressure value; according to the target inspiratory pressure value, generate the target pressure value; input the target pressure value and the target ventilation flow value into the fan speed generation model obtained in advance training, and obtain the fan speed as the first fan speed; according to the target The pressure value and the output ventilation pressure value generate the rotation adjustment coefficient; generate the second fan rotation number according to the first fan rotation number and the rotation adjustment coefficient; control the fan device associated with the target ventilator according to the second fan rotation number Execute fan speed adjustment operation. This embodiment can improve the ventilation of the ventilator and the experience of the user.

Description

Fan control method, ventilator and computer readable medium

technical field

The embodiments of the present disclosure relate to the field of medical devices, and in particular to a fan control method, a ventilator and a computer readable medium.

Background technique

The ventilator outputs air at a certain pressure or flow rate to assist patients with respiratory insufficiency or who cannot breathe spontaneously. At present, when controlling the output pressure of the ventilator, the usual method is to control the output gas flow of the ventilator by controlling the opening of the proportional valve in the main exhaust pipeline of the ventilator, thereby controlling the output of the ventilator. Pressure, and the treatment pressure is manually set each time it is used, and the treatment duration is reflected in the report generated in the pressure automatic adjustment mode.

However, the inventors have found that when the above method is used to control the pressure of the ventilator, the following technical problems often exist:

First, by controlling the opening of the proportional valve in the main exhaust pipeline of the ventilator to control the output gas flow of the ventilator, the accuracy of the adjustment of the output gas flow of the ventilator is low, resulting in The output pressure stability of the ventilator is poor, which reduces the ventilation of the ventilator and the user experience.

Second, the report generated in the pressure automatic adjustment mode does not reflect the duration of the maximum output pressure. When the maximum output pressure is used as the reference data for the user to set the treatment pressure, the number of overshoots caused by the set treatment pressure is more. It affects the user's sleep, thereby reducing the ventilation of the ventilator and the user's experience.

Thirdly, by manually setting the treatment pressure, the setting efficiency is low and the setting method is single, thereby reducing the user experience.

Fourth, when a respiratory event occurs, adjust the preset pressure value for the respiratory event. The adjusted pressure value is the same for different event types and event durations. When the event duration is short, it will cause more overshoots, which will affect the user's sleep. When the preset pressure value is small, when the apnea event or the event duration is long, it will cause the ventilator to fail. The air permeability is low, resulting in poor user experience.

The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.

Contents of the invention

The Summary of the Disclosure is provided to introduce concepts in a simplified form that are described in detail in the Detailed Description that follows. The content of this disclosure is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to be used to limit the scope of the claimed technical solution.

Some embodiments of the present disclosure provide a fan control method, a ventilator, a computer readable medium, and a program product to solve one or more of the technical problems mentioned in the background art section above.

In the first aspect, some embodiments of the present disclosure provide a fan control method applied to a target ventilator, wherein the target ventilator includes a fan device, and the method includes: determining the operation mode of the target ventilator; acquiring the target The preset ventilation pressure value, the target ventilation flow value and the output ventilation pressure value of the ventilator; the target inspiratory pressure value is generated according to the above operation mode and the above preset ventilation pressure value; the target pressure value is generated according to the above target inspiratory pressure value ; Input the above-mentioned target pressure value and the above-mentioned target ventilation flow value into the fan speed generation model obtained in advance training, and obtain the fan speed as the first fan speed, wherein the above-mentioned fan speed generation model is used to represent the target pressure value, target The corresponding relationship between the ventilation flow value and the fan speed; according to the above-mentioned target pressure value and the above-mentioned output ventilation pressure value, the rotation number adjustment coefficient is generated; according to the above-mentioned first fan speed and the above-mentioned rotation number adjustment coefficient, the second fan speed is generated; According to the second fan speed, the fan device associated with the target ventilator is controlled to perform a fan speed adjustment operation.

In a second aspect, some embodiments of the present disclosure provide a ventilator, including: one or more processors; a storage device, on which one or more programs are stored, and a blower device, used to deliver gas in a rotating state ; When one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation manner of the first aspect above.

In a third aspect, some embodiments of the present disclosure provide a computer-readable medium on which a computer program is stored, wherein, when the program is executed by a processor, the method described in any implementation manner of the above-mentioned first aspect is implemented.

The above-mentioned various embodiments of the present disclosure have the following beneficial effects: through the fan control method of some embodiments of the present disclosure, the ventilation of the ventilator and the experience of the user can be improved. Specifically, the reason for the poor stability of the output pressure of the ventilator, which reduces the ventilation of the ventilator and the user's experience is that the ventilator is used to control the opening of the proportional valve in the main exhaust line of the ventilator. The method of controlling the output gas flow rate of the ventilator has low accuracy in adjusting the output gas flow rate of the ventilator, resulting in poor stability of the output pressure of the ventilator, reducing the ventilator's ventilation and user experience . Based on this, the fan control method of some embodiments of the present disclosure is applied to a target ventilator, wherein the target ventilator includes a fan device, and first, an operation mode of the target ventilator is determined. Secondly, the preset ventilation pressure value, the target ventilation flow value and the output ventilation pressure value of the above-mentioned target ventilator are acquired. In this way, the user's basic settings for the target ventilator and the ventilation situation at the current time can be obtained, which can be used to determine the number of rotations of the fan. Then, a target inspiratory pressure value is generated according to the aforementioned operating mode and the aforementioned preset ventilation pressure value. After that, the target pressure value is generated based on the above-mentioned target inhalation pressure value. Thereby, the pressure value that needs to be output in the exhaust pipe of the above-mentioned target ventilator can be obtained, so that it can be used to determine the rotation speed of the fan. Subsequently, the above-mentioned target pressure value and the above-mentioned target ventilation flow value are input into the pre-trained fan speed generation model, and the fan speed is obtained as the first fan speed. Wherein, the fan speed generating model is used to represent the corresponding relationship between the target pressure value, the target ventilation flow value and the fan speed. In this way, the required fan speed can be obtained, so that the pressure value in the exhaust pipe of the above-mentioned target ventilator can be controlled by adjusting the fan speed to keep stable. Next, a rotational speed adjustment coefficient is generated based on the target pressure value and the output ventilation pressure value. In this way, the coefficient for adjusting the rotation speed of the fan can be obtained, thereby assisting the adjustment of the fan device, making the target ventilator quickly reach the target pressure value, and shortening the response time of the target pressure value. Next, a second fan speed is generated according to the first fan speed and the rotation adjustment coefficient. In this way, the second fan rotation speed that actually needs to be output can be obtained, so that it can be used to control the fan device associated with the above-mentioned target ventilator to perform a fan rotation speed adjustment operation. Finally, according to the second fan speed, the fan device associated with the target ventilator is controlled to perform a fan speed adjustment operation. Therefore, the output pressure value of the target ventilator can be controlled to be stable by controlling the blower device associated with the target ventilator. It is also because when controlling the output pressure value of the above-mentioned target ventilator to remain stable, not only can the adjustment accuracy of the output gas flow of the ventilator be improved by adjusting the fan speed, but also considering the response time required for adjusting the fan speed, it can be The coefficient for adjusting the number of fan rotations is increased to shorten the time difference between the number of fan rotations and the adjustment of the output pressure, thereby improving the stability of the output pressure of the ventilator. As a result, the air permeability of the ventilator and the experience of the user can be improved.

Description of drawings

The above and other features, advantages and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and elements and elements have not necessarily been drawn to scale.

FIG. 1 is a flowchart of some embodiments of a wind turbine control method according to the present disclosure;

FIG. 2 is a schematic structural diagram of an electronic device suitable for implementing some embodiments of the present disclosure.

Detailed ways

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these examples are provided so that the understanding of this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings. In the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.

It should be noted that concepts such as "first" and "second" mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the sequence of functions performed by these devices, modules or units or interdependence.

It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative and not restrictive, and those skilled in the art should understand that unless the context clearly indicates otherwise, it should be understood as "one or more" multiple".

The names of messages or information exchanged between multiple devices in the embodiments of the present disclosure are used for illustrative purposes only, and are not used to limit the scope of these messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.

FIG. 1 shows a flow 100 of some embodiments of a wind turbine control method according to the present disclosure. The fan control method includes the following steps:

Step 101, determine the operating mode of the target ventilator.

In some embodiments, the execution subject of the fan control method (for example, a ventilator) may determine the operating mode of the target ventilator in various ways. Wherein, the above-mentioned target ventilator may be a ventilator in operation. The above-mentioned operation mode may represent that when the above-mentioned target ventilator is running and during the user's inhalation cycle, the output pressure is constant or automatically adjusted. The above-mentioned operation mode may be but not limited to one of the following: continuous positive pressure single-level output mode, and pressure automatic adjustment mode.

In some optional implementations of some embodiments, the execution subject may determine the operating mode of the target ventilator through the following steps:

In the first step, in response to determining that the operating state of the target ventilator is the machine-on state, the associated display device is controlled to display a treatment interface. Wherein, the above-mentioned machine on state may represent that the above-mentioned target ventilator has started to run. The above treatment interface may include but not limited to at least one of the following: treatment mode control, basic setting control and setting control. The therapy mode controls described above can be used to jump to the therapy mode interface. The above treatment mode interface can be used to display relevant parameter information in the treatment process. The above parameter information may include, but not limited to, at least one of the following: sleep duration, respiratory rate, and airtightness of the mask. The above basic setting control can be used to jump to the basic setting interface. The above-mentioned basic setting interface may be used to display controls for setting the operating functions of the above-mentioned target ventilator. The above-mentioned basic setting interface may include but not limited to at least one of the following: treatment mode control, ramp-up control, pressure release control, intelligent start-up control and intelligent stop control. The therapy mode controls described above can be used to jump to the therapy mode window. The treatment mode window described above may be operated for receiving a user's mode input. The above-mentioned mode input operation may be an operation of inputting a therapy mode. The above-mentioned treatment mode may represent whether the output pressure value of the above-mentioned target ventilator is fixed or automatically adjusted when the user inhales during the treatment process. The above-mentioned output pressure value may be the pressure value in the exhaust pipe when the above-mentioned target ventilator is running. The above delay boost control is used to receive the user's time selection operation. The above-mentioned time selection operation may be an operation of selecting a time interval when the above-mentioned target ventilator starts to gradually increase the pressure. The above-mentioned pressure relief control is used to determine whether to reduce the pressure value of the ventilator intake air by a preset reduction value when the user exhales. The aforementioned preset reduction value may be a preset value of how much the pressure needs to be reduced. The above-mentioned intelligent power-on control can be used to select whether to enable the automatic power-on function. The above intelligent shutdown control can be used to select whether to enable the function of automatic shutdown. The above setting control can be used to jump to the setting interface. The above-mentioned setting interface may be a control for displaying treatment reports, device management and related function settings of applications. The above-mentioned display device may be a display screen connected to the above-mentioned target ventilator through a wired connection or a wireless connection.

The second step is to display the basic setting interface in response to detecting the selection operation of the basic setting control displayed on the treatment interface. Wherein, the above selection operation may be but not limited to at least one of the following: click, hover, drag, and slide.

The third step is to display a treatment mode window on the basic setting interface in response to detecting the selection operation of the treatment mode control displayed on the basic setting interface. Wherein, the treatment mode window may include but not limited to at least one of the following: a first mode control and a second mode control. The above-mentioned first mode control can be used to select whether to enable the continuous positive pressure single-level output mode. The above-mentioned second mode control can be used to select whether to enable the automatic pressure adjustment mode.

Step 4: In response to detecting the mode control selection operation of the mode control displayed in the treatment mode window, determine the treatment mode corresponding to the mode control selection operation as the operating mode of the target ventilator. The above mode control selection operation may be but not limited to at least one of the following: click, hover, drag, and slide.

Optionally, before step 102, the above execution subject may also perform the following steps:

In the first step, each set of target inspiratory pressure values in the historical time period in the target operation mode is acquired as a set of historical target inspiratory pressure values. Wherein, the above-mentioned historical time period may be a period of time in the past. For example, the aforementioned historical time period may be the past month. The aforementioned target operation mode may be the target operation mode of the ventilator determined in step 101 . Each historical target inspiratory pressure value included in the above historical target inspiratory pressure value set corresponds to at least one historical target inspiratory pressure time period. The historical target pressure time period included in the at least one historical target pressure time period may be a time period in which the output pressure value of the target ventilator during operation is the corresponding historical target inspiratory pressure value. In practice, the above-mentioned execution subject may acquire various sets of target inspiratory pressure values in the historical time period in the target operating mode from the server as a set of historical target inspiratory pressure values through a wired connection or a wireless connection. It should be pointed out that the above wireless connection methods may include but not limited to 3G/4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods known or developed in the future .

In the second step, for each historical target inspiratory pressure value included in the above historical target inspiratory pressure value set, perform the following sub-steps:

The first sub-step is to determine the first historical time period set for each historical target pressure time period corresponding to the historical target inspiratory pressure value.

The second sub-step is to determine the time length corresponding to each first historical time period in the first historical time period set as the first historical time period to obtain the first historical time period set.

The third sub-step is to determine the sum of the first historical durations included in the first historical duration set as the total historical duration.

The third step is to select at least one total historical duration that satisfies the preset historical duration condition from the determined total historical durations as the target historical duration set. Wherein, the aforementioned preset historical duration condition may be that the total historical duration is the maximum value among the above-mentioned total historical durations.

The fourth step is to generate a predicted set pressure value according to the above-mentioned target historical duration set. Wherein, the above-mentioned predicted set pressure value may be the automatic default output pressure value of the above-mentioned target ventilator. In practice, firstly, the execution subject may determine the quantity of each target historical duration included in the target historical duration set as the duration quantity. Secondly, in response to determining that the number of time lengths is greater than 1, the historical target inspiratory pressure value corresponding to each target historical time length in the above-mentioned target historical time length set is determined as a historical pressure value to obtain a set of historical pressure values. Then, the maximum value of the historical pressure value in the above historical pressure value set is determined as the predicted set pressure value. Finally, in response to determining that the number of durations is equal to 1, the historical target inspiratory pressure value corresponding to the target historical duration included in the target historical duration set is determined as the predicted set pressure value.

The fifth step is to set the pressure value according to the above forecast, and display a setting prompt window on the above basic setting interface. Wherein, the above-mentioned setting prompt window may be a window for selecting a manual setting of a preset ventilation pressure value or a pressure value automatically recommended by the system. The above-mentioned setting prompt window may include but not limited to at least one of the following: setting prompt information, accepting a selection control, and rejecting a selection control. The above-mentioned setting prompt information may be information prompting selection of an automatically recommended pressure value. The above-mentioned acceptance selection control may be a control for characterizing selection acceptance. The above-mentioned denial selection control may be a control for characterizing selection denial. In practice, the above-mentioned executive body may combine the above-mentioned preset character string and the predicted set pressure value to obtain setting prompt information. Wherein, the above preset character string may be "whether it is acceptable to set the pressure value to". Then, a setting prompt window is displayed on the above-mentioned basic setting interface.

In the sixth step, in response to detecting the selection operation of the acceptance selection control displayed on the above-mentioned setting prompt window, the above-mentioned predicted set pressure value is displayed in the preset ventilation pressure value window in the above-mentioned basic setting interface as the preset ventilation pressure value . Wherein, the above preset ventilation pressure value window may be used to display the window of the preset ventilation pressure value.

The above-mentioned technical solution and its related content, as an inventive point of the embodiments of the present disclosure, solve the technical problem three mentioned in the background technology: "By manually setting the treatment pressure, the setting efficiency is low and the setting method is single, thereby reducing the user experience. ". Factors that reduce the sense of user experience are often as follows: manually setting the treatment pressure, the setting efficiency is low and the setting method is single, thereby reducing the sense of user experience. If the above factors are resolved, the effect of improving user experience can be achieved. In order to achieve this effect, in the fan control method of some embodiments of the present disclosure, firstly, each set of target suction pressure values in a historical time period in the target operation mode is acquired as a set of historical target suction pressure values. Wherein, the above-mentioned target operation mode matches the above-mentioned operation mode, and each historical target inhalation pressure value included in the above-mentioned set of historical target inhalation pressure values corresponds to at least one historical target pressure time period. Thus, a set of historical target inspiratory pressure values in the same mode can be obtained, so that the historical data can be referred to for generating automatically recommended pressure values, making the automatically recommended pressure values more suitable for users. Secondly, for each historical target inspiratory pressure value included in the above historical target inspiratory pressure value set, perform the following steps: determine the first historical time period set for each historical target pressure time period corresponding to the above historical target inspiratory pressure value; Determining the duration corresponding to each first historical time period in the first historical time period set as the first historical time period to obtain the first historical time period set; determining the sum of the first historical time periods included in the first historical time period set is the total history. Thus, the total historical duration corresponding to each historical target inspiratory pressure value can be obtained, which can be used to determine the automatically recommended pressure value. Then, at least one total history duration that satisfies the preset history duration condition is selected from the determined total history durations as the target history duration set. Afterwards, according to the above-mentioned target historical duration set, a predicted set pressure value is generated. In this way, the automatically recommended pressure value determined from the perspective of historical application duration can be obtained, thereby improving the applicability of using the automatically recommended treatment pressure value to the user, and improving the user's experience when using it. Subsequently, a setting prompt window is displayed on the basic setting interface according to the predicted pressure value. Wherein, the above-mentioned setting prompt window includes setting prompt information, an accepting selection control and a rejecting selection control. Therefore, two ways of setting the treatment pressure value can be provided, so that the user can choose independently, thereby improving the user experience. Finally, in response to detecting a selection operation acting on the acceptance selection control displayed in the setting prompt window, the above-mentioned predicted set pressure value is displayed as the preset ventilation pressure value in the preset ventilation pressure value window in the basic setting interface. Thus, automatic setting of treatment pressure can be realized, and setting efficiency can be improved. It is also because when setting the treatment pressure value, the user can choose to manually set it, or directly use the automatically recommended treatment pressure, thereby improving the user experience. In this way, the experience of the user can be improved.

Step 102, acquiring the preset ventilation pressure value, the target ventilation flow value and the output ventilation pressure value of the target ventilator.

In some embodiments, the executive body may obtain the preset ventilation pressure value, target ventilation flow value and output ventilation pressure value of the target ventilator from the server through a wired connection or a wireless connection. Wherein, the above-mentioned preset ventilation pressure value may be the pressure value in the exhaust pipe of the above-mentioned target ventilator preset by the user during operation. The above-mentioned target ventilation flow value may be the flow value in the exhaust pipe of the above-mentioned target ventilator at the current time when it is running. The above-mentioned output ventilation pressure value may be the pressure value in the exhaust pipe when the above-mentioned target ventilator is running at the current time. The above-mentioned output ventilation pressure value may be a pressure value measured by a pressure sensor.

Step 103, generating a target inspiratory pressure value according to the operating mode and the preset ventilation pressure value.

In some embodiments, the execution subject may generate a target inspiratory pressure value according to the above operation mode and the above preset ventilation pressure value. Wherein, the above-mentioned target inhalation pressure value may be the pressure value in the exhaust pipe when the user expects the above-mentioned target ventilator to operate during inhalation. In practice, the executive body may determine the preset ventilation pressure value as the target inspiratory pressure value in response to determining that the operating mode of the target ventilator is the continuous positive pressure single-level output mode.

In some optional implementations of some embodiments, the executive body may also generate a target inspiratory pressure value according to the above operation mode and the above preset ventilation pressure value through the following steps:

In the first step, in response to determining that the operation mode of the target ventilator is the pressure automatic adjustment mode, the preset ventilation pressure value is determined as the initial inspiratory pressure value.

In a second step, generating respiratory event information in response to detecting the occurrence of a respiratory event. Wherein, the above respiratory event information may include event type and event duration. The aforementioned event type may be, but not limited to, one of the following: apnea event, hypopnea event. The aforementioned apnea event may be an event in which the user has apnea during the treatment process. The aforementioned hypoventilation event may be an event in which the user experiences hypoventilation during treatment. The above event duration may be the duration of an event of the event type occurring at the current time. In practice, firstly, the execution subject may determine the event type and event duration of the respiratory event in response to detecting the occurrence of the respiratory event. Then, the above event types and event durations are combined to obtain respiratory event information. Wherein, the above combination manner may be character splicing.

In the third step, an adjusted pressure value is generated according to the above respiratory event information. Wherein, the above-mentioned adjusted pressure value may be a pressure value that needs to be increased or decreased by the current output pressure value. In practice, first, the execution subject may determine the event type included in the respiratory event information. Then, a preset preset adjustment pressure value corresponding to the event type is determined as the adjustment pressure value.

In some optional implementations of some embodiments, the executive body may generate an adjusted pressure value according to the respiratory event information through the following sub-steps:

The first sub-step, in response to determining that the event type included in the respiratory event information is an apnea event, input the event duration included in the respiratory event information into the first pressure adjustment model obtained in advance to obtain the first adjusted pressure value as the adjusted pressure value. Wherein, the above-mentioned first pressure adjustment model may be used to characterize the corresponding relationship between the event duration and the first adjusted pressure value. As an example, the above-mentioned first pressure adjustment model may be a correspondence table. Wherein, the above correspondence table may be a preset correspondence table of a large number of correspondences between event durations and first adjusted pressure values. In practice, the input event duration is compared with multiple event durations in the corresponding relationship table in turn. If the duration of an event in the corresponding relationship table is the same as the event duration or the duration difference is within the preset range, the corresponding relationship The first adjusted pressure value corresponding to the event duration in the table is used as the first adjusted pressure value indicated by the event duration.

The above-mentioned first pressure adjustment model may also be a neural network model that takes event duration as input and outputs the first adjusted pressure value. The above-mentioned first pressure adjustment model may be obtained by training according to the training sample set.

Optionally, the above training sample set includes a sample event duration and a sample first adjusted pressure value. In practice, the above-mentioned first pressure adjustment model can be obtained by performing the following training steps based on the training sample set: respectively input the sample event duration of at least one training sample in the training sample set into the initial machine learning model, and obtain the corresponding first Adjusting the pressure value; comparing the first adjusted pressure value corresponding to the duration of each sample event in the at least one training sample with the first adjusted pressure value of the corresponding sample; determining the prediction accuracy of the above initial machine learning model according to the comparison result; Determine whether the above-mentioned prediction accuracy rate is greater than the preset accuracy rate threshold; in response to determining that the above-mentioned accuracy rate is greater than the above-mentioned preset accuracy rate threshold value, then determine the above-mentioned initial machine learning model as the first pressure adjustment model that has been trained; in response to determining the above-mentioned accuracy rate rate is not greater than the above preset accuracy threshold, adjust the parameters of the above initial machine learning model, and use unused training samples to form a training sample set, use the adjusted initial machine learning model as the initial machine learning model, and perform the above training again step. in. The aforementioned initial machine learning model may be a convolutional neural network model.

In the second sub-step, in response to determining that the event type included in the respiratory event information is a hypopnea event, input the event duration included in the respiratory event information into the second pressure adjustment model obtained in advance to obtain the second adjusted pressure value as the adjusted pressure value. Wherein, the above-mentioned second pressure adjustment model may be used to characterize the corresponding relationship between the event duration and the second adjusted pressure value. As an example, the above-mentioned second pressure adjustment model may be a correspondence table. Wherein, the above correspondence table may be a preset correspondence table of a large number of correspondences between event durations and second adjusted pressure values. In practice, the input event duration is compared with multiple event durations in the corresponding relationship table in turn. If the duration of an event in the corresponding relationship table is the same as the event duration or the duration difference is within the preset range, the corresponding relationship The second adjusted pressure value corresponding to the event duration in the table is used as the second adjusted pressure value indicated by the event duration.

The above-mentioned second pressure adjustment model may be a neural network model that takes event duration as input and outputs the second adjusted pressure value. The above-mentioned second pressure adjustment model may be obtained by training according to the training sample set.

Optionally, the above training sample set includes a sample event duration and a sample second adjusted pressure value. In practice, the above-mentioned second pressure adjustment model can be obtained by performing the following training steps based on the training sample set: respectively input the sample event duration of at least one training sample in the training sample set into the initial machine learning model, and obtain the corresponding second Adjusting the pressure value; comparing the second adjusted pressure value corresponding to the duration of each sample event in the at least one training sample with the second adjusted pressure value of the corresponding sample; determining the prediction accuracy of the above initial machine learning model according to the comparison result; Determine whether the above-mentioned prediction accuracy rate is greater than the preset accuracy rate threshold; in response to determining that the above-mentioned accuracy rate is greater than the above-mentioned preset accuracy rate threshold value, then determine the above-mentioned initial machine learning model as the second pressure adjustment model that has been trained; in response to determining the above-mentioned accuracy rate rate is not greater than the above preset accuracy threshold, adjust the parameters of the above initial machine learning model, and use unused training samples to form a training sample set, use the adjusted initial machine learning model as the initial machine learning model, and perform the above training again step. in. The aforementioned initial machine learning model may be a convolutional neural network model.

The above-mentioned technical solution and its related content are regarded as an inventive point of the embodiment of the present disclosure, which solves the technical problem four mentioned in the background technology: "When a respiratory event occurs, adjust the preset pressure value for the respiratory event. Different event types The adjusted pressure value is the same as the event duration. When the preset pressure value is larger, when the hypoventilation event or the event duration is shorter, it will cause more overshoots and affect the user's sleep. When the set pressure value is small, when an apnea event or a long event occurs, the ventilation of the ventilator will be low, resulting in a poor user experience." The factors that lead to more overshoots or lower ventilation of the ventilator, resulting in poor user experience are often as follows: When a breathing event occurs, adjust the preset pressure value for the breathing event. The adjusted pressure value is the same for the type of event and the duration of the event. When the preset pressure value is larger, when the hypoventilation event or the event duration is shorter, the number of overshoots will occur more often, which will affect the user's sleep. When the preset pressure value is small, when an apnea event or a long event occurs, the ventilation of the ventilator is low, resulting in a poor user experience. If the above factors are resolved, the ventilating performance of the ventilator can be improved, the number of overshoots can be reduced, and the user experience can be improved. In order to achieve this effect, in some embodiments of the fan control method of the present disclosure, first, in response to determining that the event type included in the above respiratory event information is an apnea event, input the event duration included in the above respiratory event information into the pre-trained first A pressure adjustment model, obtaining the first adjusted pressure value as the adjusted pressure value. Wherein, the above-mentioned first pressure adjustment model is used to characterize the corresponding relationship between the event duration and the first adjusted pressure value. Thus, when the event type included in the respiratory event information is an apnea event, it is possible to determine how much pressure value needs to be adjusted according to the duration of the apnea event, so that different pressure values can be adjusted for different durations of apnea events. Secondly, in response to determining that the event type included in the respiratory event information is a hypopnea event, input the event duration included in the respiratory event information into the second pressure adjustment model obtained in advance to obtain the second adjusted pressure value as the adjusted pressure value. Wherein, the above-mentioned second pressure adjustment model is used to characterize the corresponding relationship between the event duration and the second adjusted pressure value. Therefore, when the event type included in the above respiratory event information is a hypopnea event, it is possible to determine how much the pressure value needs to be adjusted according to the duration of the hypopnea event, so that different pressure values can be adjusted for different durations of the hypopnea event. Also because for different types of respiratory events, the same type of events, different event durations, the adjusted pressure values are not the same, so when the user uses the ventilator, when a respiratory event occurs, according to the specific circumstances of the respiratory event, Automatically generate an adjusted pressure value suitable for the actual situation of the user, so as to improve the ventilation of the ventilator while reducing the occurrence of overshoot, thereby improving the user's experience.

In the fourth step, the sum of the adjusted pressure value and the initial inspiratory pressure value is determined as the first pressure value.

Step 5: In response to determining that the first pressure value satisfies a preset first pressure condition, determine the first pressure value as the target inspiratory pressure value. Wherein, the preset first pressure condition may be that the first pressure value is less than or equal to the maximum value of the preset output pressure value.

In other optional implementation manners of some embodiments, the executive body may also generate a target inspiratory pressure value according to the above operation mode and the above preset ventilation pressure value through the following steps:

The first step is to determine whether a respiratory event occurs within the first time period in response to the current time meeting the preset interval duration condition. Wherein, the above-mentioned first time period is a time period from historical time to current time. The aforementioned historical time may be the time when the last respiratory event occurred. The interval length of the first time period is a preset interval length corresponding to the preset interval length condition. The aforementioned preset interval length condition may be that the time interval between the current time and the last occurrence of the respiratory event is the preset interval length. The aforementioned preset interval duration may be a preset interval duration. For example, the aforementioned preset interval may be 10 minutes. In practice, first, the execution subject may determine the traffic curve in the first time period in response to the current time meeting the preset interval length condition. Wherein, the above flow curve can represent the gas flow value at each moment. Secondly, the above flow curve is divided into each flow curve segment according to the preset event interval time length. Wherein, the aforementioned preset event interval time may be a preset interval time for judging respiratory events. For example, the aforementioned preset event interval may be 1 minute. Then, for each of the above individual flow profile segments, perform the following sub-steps:

The first sub-step is to compare the difference between the maximum flow value and the minimum flow value in the above-mentioned flow curve segment with a preset threshold. Wherein, the aforementioned preset threshold may be a preset threshold.

In the second sub-step, in response to determining that the difference between the maximum flow value and the minimum flow value in the flow curve segment is greater than the preset threshold, determine that no respiratory event occurs within the time period corresponding to the flow curve segment.

In the third sub-step, in response to determining that the difference between the maximum flow rate and the minimum flow rate in the flow curve segment is less than or equal to the preset threshold, determine that a respiratory event occurs within the time period corresponding to the flow rate curve segment.

Afterwards, in response to determining that no respiratory event occurs in each time period corresponding to each flow curve segment, it is determined that no respiratory event occurs in the first time period.

Finally, in response to determining that a respiratory event occurs in a time period corresponding to any flow curve segment included in each of the flow curve segments, it is determined that a respiratory event occurs within the first time period.

In a second step, in response to determining that no respiratory event occurs within the first time period, the preset ventilation pressure value is determined as the target inspiratory pressure value.

Step 104, generating a target pressure value according to the target inspiratory pressure value.

In some embodiments, the execution subject may generate a target pressure value according to the target inspiratory pressure value. Wherein, the above-mentioned target pressure value may be the pressure value in the exhaust pipe when the above-mentioned target ventilator is expected to operate. In practice, first, the execution subject may determine that the current time is within an exhalation cycle or an inhalation cycle. Second, in response to determining that the current time is within an exhalation cycle, it is determined that the user's breath type at the current time is exhalation. Then, in response to determining that the current time is within an inhalation cycle, it is determined that the user's breath type at the current time is inhalation. Finally, in response to determining that the breathing type of the user at the current time is inhalation, the above-mentioned target inhalation pressure value is determined as the target pressure value.

In some optional implementations of some embodiments, the executive body may generate a target pressure value according to the target inspiratory pressure value through the following steps:

The first step is to determine the breathing pattern of the user at the current time. Wherein, the breathing type of the user is one of the following: exhalation, inhalation. In practice, first, the execution subject may determine that the current time is within an exhalation cycle or an inhalation cycle. Second, in response to determining that the current time is within an exhalation cycle, it is determined that the user's breath type at the current time is exhalation. Then, in response to determining that the current time is within an inhalation cycle, it is determined that the user's breath type at the current time is inhalation.

In the second step, in response to determining that the breathing type of the user at the current time is exhalation, determine whether the exhalation decompression mode is in a decompression-on state. Wherein, the above decompression enabled state may represent that the expiratory decompression mode has been activated. In practice, the execution subject may determine that the user's breath type at the current time is exhalation, and in response to detecting the decompression selection operation of the exhalation decompression mode control displayed in the basic setting interface, determine that the corresponding decompression selection operation Whether the expiratory decompression mode of the device is turned on. Secondly, in response to determining that the expiratory decompression mode corresponding to the decompression selection operation is on, determine that the expiratory decompression mode is in the decompression on state.

The third step is to determine the decompression gear type in response to determining that the exhalation decompression mode is the decompression-on state. In practice, the executive body may display a decompression mode window on the basic setting interface in response to determining that the exhalation decompression mode is in the decompression-on state. Wherein, the above-mentioned decompression mode window may be a window for selecting a decompression gear type. The above-mentioned decompression mode window may include at least one decompression gear control. The above-mentioned decompression gear control may be a control for selecting a decompression gear type. The above decompression gear types correspond to pressure deduction. The correspondence relationship between the above-mentioned decompression gear type and the above-mentioned pressure deduction value may be a one-to-one correspondence. The above-mentioned pressure reduction value may be a pressure value that needs to be reduced from the current output pressure value.

In the fourth step, the difference between the pressure deduction value corresponding to the decompression gear type and the target suction pressure value is determined as the second pressure value.

Step 5: In response to determining that the second pressure value satisfies a preset second pressure condition, determine the second pressure value as a target pressure value. Wherein, the preset second pressure condition may be a minimum value at which the second pressure value is greater than the output pressure value preset by the user.

Optionally, the execution subject may determine the minimum value of the output pressure value preset by the user as the target pressure value in response to determining that the second pressure value does not satisfy the preset second pressure condition.

Step 105, inputting the target pressure value and the target ventilation flow value into the pre-trained fan speed generating model, and obtaining the fan speed as the first fan speed.

In some embodiments, the executive body may input the above-mentioned target pressure value and the above-mentioned target ventilation flow value into a pre-trained fan speed generating model, and obtain the fan speed as the first fan speed. Wherein, the fan speed generating model is used to represent the corresponding relationship between the target pressure value, the target ventilation flow value and the fan speed. As an example, the fan speed generation model may be pre-established based on the statistics of a large number of target pressure values, target ventilation flow values, and fan speeds, and store multiple target pressure values, target ventilation flow values, and fan speeds. Correspondence table of correspondence relation.

Optionally, the above fan speed generating model may also be a model trained based on a training sample set according to a linear regression algorithm. Wherein, the training samples in the above training sample set include sample target pressure values, sample target ventilation flow values and sample fan speeds.

Optionally, the above-mentioned fan speed generation model may also be a neural network model that takes the target pressure value and the target ventilation flow value as input, and takes the fan speed as output. The aforementioned neural network model may be a convolutional neural network model.

Step 106, generating an adjustment coefficient for rotation speed according to the target pressure value and the output ventilation pressure value.

In some embodiments, the executive body may generate a rotation speed adjustment coefficient according to the target pressure value and the output ventilation pressure value. Wherein, the above-mentioned rotation speed adjustment coefficient may be a coefficient for adjusting the rotation speed of the fan. In practice, the executive body may determine the square of the ratio of the target pressure value to the output ventilation pressure value as the rotation speed adjustment coefficient.

Step 107, generating a second fan speed according to the first fan speed and the speed adjustment coefficient;

In some embodiments, the execution subject may generate the second fan speed according to the first fan speed and the rotation adjustment coefficient. Wherein, the above-mentioned second fan rotation speed may be the rotation speed that can be reached by the rotation of the fan device. In practice, the executive body may determine the product of the first fan rotation speed and the rotation adjustment coefficient as the second fan rotation speed.

Step 108, according to the second fan speed, control the fan device associated with the target ventilator to perform a fan speed adjustment operation.

In some embodiments, the executive body may control the fan device associated with the target ventilator to perform a fan speed adjustment operation according to the second fan speed. Wherein, the operation of adjusting the number of rotations of the fan may be an operation of adjusting the number of rotations of the fan. In practice, the executive body may control the fan device associated with the target ventilator to rotate according to the second fan speed, and perform the fan speed adjustment operation.

Optionally, the above execution subject may also perform the following steps:

The first step is to determine the operating status of the above-mentioned target ventilator. Wherein, the above-mentioned operating state may be, but not limited to, one of the following: machine on state, machine off state. The above-mentioned machine-off state may indicate that the above-mentioned target ventilator has ceased operation.

In the second step, in response to determining that the operating state of the target ventilator is the machine off state, determine the operating time period. In practice, the executive body may determine the time period from the start of operation to the stop of operation of the target ventilator as the operation time period.

The third step is to obtain a set of target inspiratory pressure values corresponding to the above operation time period. Wherein, each target inspiratory pressure value in the above target inspiratory pressure value set corresponds to a target pressure time period. Wherein, the above-mentioned target pressure time period may be a time period during which the corresponding target inhalation pressure value is used to output the pressure value when the user inhales.

The fourth step is to select a target inspiratory pressure value that satisfies the preset target pressure condition from the set of target inspiratory pressure values as the displayed target inspiratory pressure value. Wherein, the above-mentioned preset target pressure condition may be that the target inspiratory pressure value is the maximum value in the above-mentioned set of target inspiratory pressure values.

In the fifth step, each target pressure time period corresponding to the displayed target inspiratory pressure value is selected from the above-mentioned running time period as a set of target time periods.

Step 6: For each target time period in the set of target time periods, determine the duration corresponding to the above target time period as the first duration.

In the seventh step, the sum of the determined first durations is determined as the target duration.

In the eighth step, report information is generated according to the above-mentioned target duration, the above-mentioned running time period and the above-mentioned displayed target inspiratory pressure value. Wherein, the above-mentioned report information may include the duration of the current treatment and related parameters of the output pressure value. In practice, the above execution subject determines the duration corresponding to the above running time period as the running time. Secondly, the ratio of the above-mentioned target duration to the above-mentioned running duration is determined as the duration ratio. Finally, fill the above-mentioned running time, the above-mentioned running time period, the above-mentioned displayed target inspiratory pressure value, the above-mentioned target duration and the above-mentioned duration ratio into the above-mentioned preset report information template to obtain report information. The above preset report information template can be "the duration of this treatment _____, the time period of this treatment ____, the maximum pressure value ____, the total running time of the maximum pressure value _____, the proportion of the maximum pressure value running time _____". The underlined part in the above pre-set report information template may represent to be filled. The first underlined part in the above preset report information template can be used to fill in the above running time. The second underlined part in the above preset report information template can be used to fill the above running time period. The third underlined part in the preset report information template may be used to fill in the displayed target inspiratory pressure value. The fourth underlined part in the above preset report information template can be used to fill in the above target duration. The fifth underlined part in the above preset report information template can be used to fill in the above time ratio.

As an example, the above-mentioned target duration can be 120 minutes, the above-mentioned running time period can be 18:00-22:00, and the above-mentioned displayed target inspiratory pressure value can be 6 hPa, then the above-mentioned running duration is 240 minutes, and the above-mentioned duration ratio 50%. Then the generated report information is "The duration of this treatment is 240 minutes , the duration of this treatment is 18:00-22:00 , the maximum pressure value is 6 hPa , the total running time of the maximum pressure value is 120 minutes , the proportion of the maximum pressure value running time 50% ".

The ninth step is to control the associated sound playback device to play the above report information. Wherein, the above-mentioned sound playing device may be a sound system.

The above-mentioned technical solution and its related content are regarded as an invention point of the embodiment of the present disclosure, which solves the technical problem 2 mentioned in the background technology "the report generated in the pressure automatic adjustment mode does not reflect the duration of the highest output pressure, and the highest output pressure When used as the reference data for the user to set the treatment pressure, the use of the set treatment pressure leads to more overshoots, which affects the user's sleep, thereby reducing the ventilation of the ventilator and the user's experience." The factors that reduce the ventilation of the ventilator and the user's experience are often as follows: the duration of the highest output pressure is not reflected in the report generated in the pressure automatic adjustment mode, and when the highest output pressure is used as the reference data for the user to set the treatment pressure, Using the set treatment pressure results in more overshoots, which affects the user's sleep, thereby reducing the ventilation of the ventilator and the user's experience. If the above factors are resolved, the effect of improving the ventilation of the ventilator and the user's experience can be achieved. In order to achieve this effect, in some embodiments of the fan control method of the present disclosure, firstly, the operating state of the target ventilator is determined. Wherein, the above-mentioned operating state is one of the following: machine on state, machine off state. Thus, the operating status of the target ventilator can be obtained, which can be used to determine whether to generate report information. Second, in response to determining that the operating state of the target ventilator is off, an operating time period is determined. Thus, the running time period can be obtained, so that the running time can be determined. Then, a set of target inspiratory pressure values corresponding to the above operation time period is obtained. Wherein, each target inspiratory pressure value in the above target inspiratory pressure value set corresponds to a target pressure time period. Afterwards, a target inspiratory pressure value satisfying a preset target pressure condition is selected from the set of target inspiratory pressure values as the displayed target inspiratory pressure value. Thus, the maximum value of the target inspiratory pressure value within the running time period can be obtained, and thus can be used to generate report information to notify the user. Subsequently, each target pressure time period corresponding to the display target inspiratory pressure value is selected from the above operation time period as a set of target time periods. Next, for each target time period in the set of target time periods, the duration corresponding to the above target time period is determined as the first duration. Next, the sum of the determined first durations is determined as the target duration. Thus, the total time period during which the output pressure value of the target ventilator is the maximum value of the target inspiratory pressure value during operation can be obtained, which can be used to generate report information to notify the user. Next, report information is generated according to the target duration, the running time period and the displayed target inspiratory pressure value. In this way, the report information of multi-dimensional parameters can be obtained, so that the user can understand the treatment process and provide data reference for setting the treatment pressure in the next treatment. Finally, control the associated sound playback device to play the above report information. Thus, the voice information can be broadcast to the user, thereby improving the convenience for the user to obtain the report information. It is also because when generating the report information, it not only reflects the treatment duration, but also reflects the maximum pressure value used during the operation and the duration of use, so as to provide reference data for the user when setting the treatment pressure, thereby reducing the use of the set treatment pressure. The number of times the rushing phenomenon occurs improves the user's sleep quality. As a result, the air permeability of the ventilator and the experience of the user can be improved.

The above-mentioned various embodiments of the present disclosure have the following beneficial effects: through the fan control method of some embodiments of the present disclosure, the ventilation of the ventilator and the experience of the user can be improved. Specifically, the reason for the poor stability of the output pressure of the ventilator, which reduces the ventilation of the ventilator and the user's experience is that the ventilator is used to control the opening of the proportional valve in the main exhaust line of the ventilator. The method of controlling the output gas flow rate of the ventilator has low accuracy in adjusting the output gas flow rate of the ventilator, resulting in poor stability of the output pressure of the ventilator, reducing the ventilator's ventilation and user experience . Based on this, the fan control method of some embodiments of the present disclosure is applied to a target ventilator, wherein the target ventilator includes a fan device, and first, an operation mode of the target ventilator is determined. Secondly, the preset ventilation pressure value, the target ventilation flow value and the output ventilation pressure value of the above-mentioned target ventilator are acquired. In this way, the user's basic settings for the target ventilator and the ventilation situation at the current time can be obtained, which can be used to determine the number of rotations of the fan. Then, a target inspiratory pressure value is generated according to the aforementioned operating mode and the aforementioned preset ventilation pressure value. After that, the target pressure value is generated based on the above-mentioned target inhalation pressure value. Thereby, the pressure value that needs to be output in the exhaust pipe of the above-mentioned target ventilator can be obtained, so that it can be used to determine the rotation speed of the fan. Subsequently, the above-mentioned target pressure value and the above-mentioned target ventilation flow value are input into the pre-trained fan speed generation model, and the fan speed is obtained as the first fan speed. Wherein, the fan speed generating model is used to represent the corresponding relationship between the target pressure value, the target ventilation flow value and the fan speed. In this way, the required fan speed can be obtained, so that the pressure value in the exhaust pipe of the above-mentioned target ventilator can be controlled by adjusting the fan speed to keep stable. Next, a rotational speed adjustment coefficient is generated based on the target pressure value and the output ventilation pressure value. In this way, the coefficient for adjusting the rotation speed of the fan can be obtained, thereby assisting the adjustment of the fan device, making the target ventilator quickly reach the target pressure value, and shortening the response time of the target pressure value. Next, a second fan speed is generated according to the first fan speed and the rotation adjustment coefficient. In this way, the second fan rotation speed that actually needs to be output can be obtained, so that it can be used to control the fan device associated with the above-mentioned target ventilator to perform a fan rotation speed adjustment operation. Finally, according to the second fan speed, the fan device associated with the target ventilator is controlled to perform a fan speed adjustment operation. Therefore, the output pressure value of the target ventilator can be controlled to be stable by controlling the blower device associated with the target ventilator. It is also because when controlling the output pressure value of the above-mentioned target ventilator to remain stable, not only can the adjustment accuracy of the output gas flow of the ventilator be improved by adjusting the fan speed, but also considering the response time required for adjusting the fan speed, it can be The coefficient for adjusting the number of fan rotations is increased to shorten the time difference between the number of fan rotations and the adjustment of the output pressure, thereby improving the stability of the output pressure of the ventilator. As a result, the air permeability of the ventilator and the experience of the user can be improved.

Referring now to FIG. 2 , it shows a schematic structural diagram of a ventilator 200 suitable for implementing some embodiments of the present disclosure. The ventilator shown in FIG. 2 is only an example, and should not limit the functions and scope of use of the embodiments of the present disclosure.

As shown in FIG. 2, the ventilator 200 may include a processing device (eg, a central processing unit, a graphics processing unit, etc.) 201 that may be accessed randomly according to a program stored in a read-only memory (ROM) 202 or loaded from a storage device 208. Various appropriate actions and processes are executed by programs in the memory (RAM) 203 . In the RAM 203, various programs and data necessary for the operation of the ventilator 200 are also stored. The processing device 201, ROM 202, and RAM 203 are connected to each other through a bus 204. An input/output (I/O) interface 205 is also connected to the bus 204 .

Typically, the following devices can be connected to the I/O interface 205: input devices 206 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speaker, vibration An output device 207 such as a computer; a storage device 208 including, for example, a magnetic tape, a hard disk, etc.; a communication device 209. The communication device 209 may allow the ventilator 200 to communicate wirelessly or wiredly with other devices to exchange data; and the blower device 210 includes a fan, a vortex motor, and the like. While FIG. 2 shows ventilator 200 with various devices, it should be understood that implementing or possessing all of the devices shown is not a requirement. More or fewer means may alternatively be implemented or provided. Each block shown in FIG. 2 may represent one device, or may represent multiple devices as required.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In some such embodiments, the computer program may be downloaded and installed from a network via communication means 209, or from storage means 208, or from ROM 202. When the computer program is executed by the processing device 201, the above-mentioned functions defined in the methods of some embodiments of the present disclosure are performed.

It should be noted that the computer-readable medium described in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code thereon. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted by any appropriate medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

In some embodiments, the client and the server can communicate using any currently known or future-developed network protocols such as HTTP (Hyper Text Transfer Protocol), and can communicate with digital data in any form or medium The communication (eg, communication network) interconnections. Examples of communication networks include local area networks ("LANs"), wide area networks ("WANs"), internetworks (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network of.

The above-mentioned computer-readable medium may be included in the above-mentioned ventilator, or may exist separately without being assembled into the ventilator. The computer-readable medium carries one or more programs, and when the one or more programs are executed by the ventilator, the ventilator: determines the operating mode of the target ventilator; obtains the preset ventilation of the target ventilator pressure value, target ventilation flow value and output ventilation pressure value; generate a target inspiratory pressure value according to the above operation mode and the above preset ventilation pressure value; generate a target pressure value according to the above target inspiratory pressure value; convert the above target pressure value and the above-mentioned target ventilation flow value are input into the pre-trained fan speed generation model, and the fan speed is obtained as the first fan speed, wherein the above-mentioned fan speed generation model is used to represent the target pressure value, the target ventilation flow value and the fan speed According to the above-mentioned target pressure value and the above-mentioned output ventilation pressure value, the rotation number adjustment coefficient is generated; according to the above-mentioned first fan number of rotations and the above-mentioned number of rotation adjustment coefficient, the second fan number of rotations is generated; according to the above-mentioned second fan number of rotations number, and control the blower device associated with the above-mentioned target ventilator to perform the blower speed adjustment operation.

Computer program code for carrying out operations of some embodiments of the present disclosure may be written in one or more programming languages, or combinations thereof, including object-oriented programming languages—such as Java, Smalltalk, C++, Also included are conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, using an Internet service provider to connected via the Internet).

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logical functions for implementing specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.

The units described in some embodiments of the present disclosure may be realized by software or by hardware. The described units can also be set in a processor, for example, it can be described as: a processor includes a determination unit, an acquisition unit, a first generation unit, a second generation unit, an input unit, a third generation unit, a fourth generation unit unit and control unit. Wherein, the names of these units do not constitute a limitation to the unit itself under certain circumstances, for example, the determination unit may also be described as "a unit for determining the operation mode of the above-mentioned target ventilator".

The functions described herein above may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), System on Chips (SOCs), Complex Programmable Logical device (CPLD) and so on.

The above descriptions are only some preferred embodiments of the present disclosure and illustrations of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solution formed by the specific combination of the above-mentioned technical features, but also covers the above-mentioned invention without departing from the above-mentioned inventive concept. Other technical solutions formed by any combination of technical features or equivalent features. For example, a technical solution formed by replacing the above-mentioned features with technical features having similar functions disclosed in (but not limited to) the embodiments of the present disclosure.

Claims (7)

1. A blower control method applied to a target ventilator, wherein the target ventilator includes a blower device, and the method includes:

determining an operational mode of the target ventilator;

acquiring a preset ventilation pressure value, a target ventilation flow value and an output ventilation pressure value of the target breathing machine;

generating a target inhalation pressure value according to the operation mode and the preset ventilation pressure value;

generating a target pressure value according to the target suction pressure value;

inputting the target pressure value and the target flux value into a fan revolution generation model which is obtained through training in advance, and obtaining the fan revolution as a first fan revolution, wherein the fan revolution generation model is used for representing the corresponding relation between the target pressure value, the target flux value and the fan revolution;

generating a revolution adjustment coefficient according to the target pressure value and the output ventilation pressure value;

generating a second fan revolution according to the first fan revolution and the revolution adjustment coefficient;

and controlling a fan device associated with the target breathing machine to execute fan revolution adjusting operation according to the second fan revolution.

2. The method of claim 1, wherein the operating mode is one of: a continuous positive pressure single level output mode, a pressure automatic adjustment mode; and

The generating a target inhalation pressure value according to the operation mode and the preset ventilation pressure value comprises:

in response to determining that the target ventilator's mode of operation is the pressure auto-adjustment mode, determining the preset ventilation pressure value as an initial inhalation pressure value;

in response to detecting the occurrence of a respiratory event, generating respiratory event information, wherein the respiratory event information includes an event type and an event duration, the event type being one of: an apneic event, a hypopneas event;

generating an adjustment pressure value according to the respiratory event information;

determining a sum of the adjusted pressure value and the initial inspiratory pressure value as a first pressure value;

in response to determining that the first pressure value meets a preset first pressure condition, the first pressure value is determined to be a target inspiratory pressure value.

3. The method of claim 2, wherein the generating a target inspiratory pressure value from the operating mode and the preset ventilation pressure value further comprises:

determining whether a respiratory event occurs in a first time period in response to the current time meeting a preset interval duration condition, wherein the first time period is a time period from the historical time to the current time;

In response to determining that no respiratory event has occurred within the first period of time, the preset ventilation pressure value is determined to be a target inhalation pressure value.

4. A method according to any of claims 1-3, wherein said generating a target pressure value from said target inhalation pressure value comprises:

determining a user breathing type at a current time, wherein the user breathing type is one of: expiration and inspiration;

responsive to determining that the type of user breath at the current time is exhalation, determining whether an exhalation reduced pressure mode is a reduced pressure on state;

responsive to determining that the expiratory pressure relief mode is a reduced pressure on state, determining a reduced pressure gear type;

determining a difference between the pressure reduction value corresponding to the reduced pressure gear type and the target suction pressure value as a second pressure value;

in response to determining that the second pressure value meets a preset second pressure condition, the second pressure value is determined as a target pressure value.

5. The method of claim 1, wherein the determining the operational mode of the target ventilator comprises:

responsive to determining that the operational state of the target ventilator is a machine on state, controlling an associated display device to display a therapy interface;

In response to detecting a selection operation of a basic setting control displayed in the treatment interface, displaying a basic setting interface;

in response to detecting a selection operation of a treatment mode control displayed in the base setting interface, displaying a treatment mode window in the base setting interface;

and in response to detecting a mode control selection operation of a mode control displayed in the treatment mode window, determining a treatment mode corresponding to the mode control selection operation as an operation mode of the target breathing machine.

6. A ventilator, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

the fan device is used for conveying gas in a rotating state;

when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-5.

7. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1-5.

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