CN115211816A - Monitoring method and monitoring system - Google Patents

Abstract

The present invention provides a monitoring method. The method includes: acquiring several first parameters from the first device in real time, the several first parameters reflecting at least part of the physiological information of the monitored person; acquiring several second parameters from the second device in real time; Multiple trend graphs are generated under the same coordinate system and displayed on the display device, wherein the multiple trend graphs include the trend graphs of the plurality of first parameters and the trend graphs of the plurality of second parameters, and the plurality of trend graphs The pictures are sequentially arranged in the direction perpendicular to the time axis; a reference line perpendicular to the time axis is generated and displayed on the display device, wherein the reference line is respectively connected with the time axis, the plurality of first The trend graph of the parameter and each of the trend graphs of the number of second parameters form an intersection. The invention also provides a monitoring system.

Description

Monitoring method and monitoring system

technical field

The invention relates to the field of life and health, in particular to a monitoring method and a monitoring system.

Background technique

Surgery is a routine medical procedure. Before surgery, the patient is usually anesthetized to relieve pain and sensation, and to avoid patient movement during surgery. The main goals of conventional anesthesia are to achieve a controlled unconscious state, relieve pain, relax muscles, and reduce autonomic nervous system responses. This process needs to be achieved through the action of a sufficient amount of multiple drugs. However, an overdose of the drug may be detrimental to the patient's life and health. Therefore, during the operation, various sub-programs need to be used to monitor the patient's signs to ensure the life and health of the patient. In addition, even after surgery, it is necessary to pay close attention to the patient's vital signs to ensure that they can recover well.

In the above process, the monitoring of the drug dosage and the patient's vital signs usually requires different medical devices, and a user (eg, a doctor) needs to observe the parameters reflected by the above different medical devices at the same time. However, different medical devices are not conducive to users' observation and comparison, and the parameter expressions in different medical devices are also very different, making it difficult for users to compare them.

SUMMARY OF THE INVENTION

The above-mentioned deficiencies, disadvantages, and problems are addressed herein, which will be understood by reading and understanding the following description.

Some embodiments of the present invention provide a monitoring method, comprising: acquiring in real time several first parameters from a first device, where the several first parameters reflect at least part of the physiological information of a person to be monitored; acquiring in real time Several second parameters of the second device; multiple trend graphs are generated under the same coordinate system including the time axis and displayed on the display device, wherein the multiple trend graphs include the trend graphs of the several first parameters and the several trend graphs A trend graph of the second parameter, and the plurality of trend graphs are sequentially arranged in a direction perpendicular to the time axis; and a reference line perpendicular to the time axis is generated and displayed on the display device, wherein the A reference line forms an intersection point with each of the time axis, the trend graphs of the plurality of first parameters, and the trend graphs of the plurality of second parameters, respectively.

Optionally, the first device includes a monitor, and the several first parameters include at least one of body temperature, response entropy, state entropy, and surgical plethysmography index.

Optionally, the second device includes a syringe pump, and the plurality of second parameters include at least one parameter of the drug injected by the syringe pump.

Optionally, the method further includes: respectively generating a specific value of the parameter corresponding to each intersection point and causing the display device to display it.

Optionally, the reference lines are generated automatically or in response to generation instructions.

Optionally, the method further includes: enabling an annotation function and causing the display device to display the annotation, where the annotation is mapped to a time point corresponding to the reference line.

Optionally, the method further includes: saving the annotation and the time point corresponding to the reference line mapped by the annotation.

Optionally, the method further includes: simultaneously deriving: the plurality of first parameters; the plurality of second parameters; and the annotation for mapping the time point corresponding to the reference line.

Optionally, the method further includes: in response to an adjustment instruction, adjusting the reference line to move in a direction parallel to the time axis, and causing the display device to display.

Optionally, the method further includes: simultaneously deriving the plurality of first parameters and the plurality of second parameters.

Optionally, the method further includes: in response to an arrangement instruction, adjusting an arrangement order of the plurality of trend graphs in a direction perpendicular to the time axis.

Optionally, the method further includes: receiving a physiological information evaluation model; acquiring physiological parameters from the ward; and using the physiological information evaluation model to evaluate the ward's physiological information based on the physiological parameters of the ward.

In other embodiments, a monitoring system is also provided, comprising: a display device; a processor; wherein the processor is configured to execute any of the above methods; the display device is configured to receive instructions from the processor to to display.

In some other embodiments, a non-transitory computer-readable medium is also provided, the non-transitory computer-readable medium stores a computer program, the computer program has at least one code segment, the at least one code segment Can be performed by a machine to cause the machine to perform the steps of any of the methods described above.

It should be understood that the brief description above is provided to introduce some concepts in a simplified form that are further described in the detailed description. This is not intended to identify key or essential features of the claimed subject matter, the scope of which is defined solely by the claims following the detailed description. Furthermore, the claimed subject matter is not limited to implementations that solve any disadvantages noted above or in any section of this disclosure.

Description of drawings

The present invention will be better understood by reading the following description of non-limiting examples with reference to the accompanying drawings, in which:

1 is a flowchart of a monitoring method according to some embodiments of the present invention;

2 is a flowchart of a method for evaluating physiological information according to some embodiments of the present invention;

3 is a schematic diagram of a monitoring system according to some embodiments of the present invention;

4 is a schematic diagram of a graphical user interface of a monitoring system according to some embodiments of the present invention.

Detailed ways

The specific embodiments of the present invention will be described below. It should be noted that, in the specific description process of these embodiments, in order to carry out a concise and concise description, it is impossible for the present invention to describe all the features of the actual embodiments in detail. It should be understood that, in the actual implementation process of any embodiment, just as in the process of any engineering project or design project, in order to achieve the developer's specific goals, in order to meet the system-related or business-related constraints, Often a variety of specific decisions are made, which also vary from one implementation to another. Furthermore, it will also be appreciated that while such development efforts may be complex and tedious, for those of ordinary skill in the art to which this disclosure pertains, the techniques disclosed in this disclosure will Some changes in design, manufacture or production based on the content are only conventional technical means, and it should not be understood that the content of the present disclosure is insufficient.

Unless otherwise defined, technical or scientific terms used in the claims and the specification shall have the ordinary meaning as understood by those of ordinary skill in the relevant technical field. The terms "first," "second," and similar terms used herein and in the claims do not denote any order, quantity, or importance, but are merely used to distinguish the various components. "A" or "an" and the like do not denote a quantitative limitation, but rather denote the presence of at least one. Words like "including" or "comprising" mean that the elements or items appearing before "including" or "including" cover the elements or items listed after "including" or "including" and their equivalents, and do not exclude other components or objects. Words like "connected" or "connected" are not limited to physical or mechanical connections, nor are they limited to direct or indirect connections.

FIG. 1 is a flowchart of a monitoring method 100 according to some embodiments of the present invention. As shown in Figure 1, the monitoring method 100 may include the following steps:

In step S101, several first parameters from the first device are acquired in real time, and the several first parameters reflect at least part of the physiological information of the monitored person. This step may be implemented by a processor.

Specifically, the processor may receive a signal from the above-mentioned first device, so as to obtain the above-mentioned several first parameters. The number of first parameters can be used to reflect at least some of the physiological parameters of the monitored person (eg, a patient to be anesthetized or undergoing an anesthesia procedure). In some embodiments, the processor may be disposed in and part of the first device. In some other preferred embodiments, the processor is disposed in the remote terminal and performs data transmission with the above-mentioned first device through wired or wireless data transmission. The above-mentioned real-time acquisition may be continuous acquisition, or may be timed acquisition within a relatively small time interval. It is not repeated here.

In some embodiments, the first device described above may comprise a monitor. The above-mentioned several first parameters may include general physiological information about the monitored person that can be obtained by the monitor. For example, body temperature, NIBP, heart rate, etc.

In some specific scenarios, such as in anesthesia scenarios, the above-mentioned part of the physiological information may also include reaction entropy (RE) and state entropy (SE). Among them, the response entropy can be obtained through the analysis of prefrontal electromyography and electroencephalography (EEG); the state entropy can be obtained through EEG. Both can reflect the degree of activation of the prefrontal skeletal muscle and the degree of inhibition of the cerebral cortex during the recovery phase. Both RE and SE are maintained at high levels, indicating that the monitored person is awake; both RE and SE are maintained at low levels, and stable hemodynamic parameters indicate that the monitored person is at an appropriate level of anesthesia; The SE maintained at a relatively low value indicates that the patient may have physical activity or the patient may feel pain; an increase in RE and a relatively high SE maintained at a relatively high value indicates that the patient may be awake. The monitoring of RE and SE is of great significance for the guidance of anesthesia.

In addition, in some scenarios, the above-mentioned part of the physiological information may also include a surgical plethysmography index (SPI, also known as a surgical stress index). It can be used to monitor the patient's hemodynamic response to surgical stimulation and analgesic drug therapy during general anesthesia, and can reflect the patient's response to pain or nociceptive stimulation to increase sympathetic nerve activity. Real-time acquisition of SPI combined with SE and RE will facilitate appropriate anesthesia.

In step S102, several second parameters from the second device are acquired in real time. This step may be implemented by a processor.

Specifically, the second device is different from the first device described above. The processor simultaneously acquires several first parameters of the first device and several second parameters of the second device, so as to facilitate subsequent data display and analysis. It should be noted that the sequence of step S101 and step S102 is not fixed, or both can be performed simultaneously.

The types of the second equipment can be various, for example, it can be an anesthesia machine, a ventilator, an electrocardiograph, and the like. In an anesthesia scenario, the second device may also include a syringe pump. Correspondingly, the above-mentioned several second parameters may be at least one drug parameter injected by the above-mentioned syringe pump, such as parameters such as injection volume/injection rate of sedative drugs or analgesic drugs. These parameters of these drugs will directly affect the above physiological parameters such as SE, RE, and SPI. In the present invention, several first parameters and several second parameters are simultaneously received by the processor, and subsequent data display and comparison will help the user to make timely and accurate judgments.

It should be noted that only the first device and the second device are described above, and the user can also configure more than three devices as needed, for example, multiple medical devices including a monitor, a syringe pump, an anesthesia machine, etc. at the same time. It is not repeated here.

In step S103, multiple trend graphs are generated under the same coordinate system including the time axis and displayed on the display device, wherein the multiple trend graphs include a plurality of trend graphs of the first parameter and a plurality of trend graphs of the second parameter, and the above A plurality of trend graphs are sequentially arranged in a direction perpendicular to the time axis.

This step may be implemented by a processor. Specifically, after acquiring the plurality of first parameters and the plurality of second parameters, the processor generates a plurality of trend graphs based on the corresponding relationship between the above parameters and time. The trend graph refers to a trend line graph of the variation of each of the several first parameters and the several second parameters with respect to time. Accordingly, the plurality of trend graphs respectively include a trend graph of each of the number of first parameters and a trend graph of each of the number of second parameters.

In some embodiments, the above trend graphs for each of the above are presented separately, for example, may be sequentially arranged in a direction perpendicular to the time axis. Through this tiling method, users such as anesthesiologists can easily compare the changing trends of each group of data. Moreover, since the above trend graphs are arranged in the same coordinate system including the time axis, different trend graphs will change synchronously with respect to time, so the comparison between the trend graphs will be more accurate.

In some embodiments, trend graphs for different parameters (eg, each of several first parameters and several second parameters) may be presented separately. In other embodiments, the trend graphs of several parameters of clinical significance may be configured into the same trend graph. For example, when the number of first parameters includes SE and RE, the trend graphs of SE and RE may be configured to be displayed in the same trend graph. Such a configuration will help the user to judge the proximity of the SE and the RE, so as to help the user to intuitively analyze and judge the anesthesia state of the ward.

Further, in step S104, a reference line perpendicular to the time axis is generated and displayed on the display device, wherein the above reference line is respectively associated with the time axis, the trend graphs of the first parameters and the second parameters. Each of the trend graphs forms an intersection.

The form of the reference line can be various, for example, it can be a straight line, a dotted line or other forms of lines. Since the reference line is perpendicular to the time axis, it can be ensured that each intersection of the trend graphs of the several first parameters and the trend graphs of the several second parameters with the reference line corresponds to the same time. Through these intersection points, the user can intuitively and quickly judge the specific value of each parameter at the time point where the current reference line is located.

The above reference lines can be generated in various ways, for example, they can be automatically generated. Generation of reference lines can be synchronized with trend lines. Alternatively, it may also be generated based on an instruction received by the processor, for example, a control instruction such as a touch or voice from a user is received to enable the reference line function. In other embodiments, the reference line can also be closed. For example, the processor closes the reference line based on the instruction it receives, including the user's touch, voice and other control instructions to close the reference line. It is not repeated here.

In order to make the use of the reference line more flexible, in some non-limiting embodiments of the present invention, the position of the reference line can also be adjusted. For example, the processor may be configured to adjust the reference line to move in a direction parallel to the time axis and to cause the display device to display in response to the adjustment instruction. The adjustment instructions can be generated in various ways. For example, the user can touch and drag the reference line on the touch screen. At this time, the processor controls the reference line to move in a direction parallel to the time axis according to the user's operation, and updates it on the display device (touch screen). Therefore, it is convenient for the user to view various parameters at any point in time.

Through the above method, a variety of different parameters acquired by different devices can be displayed simultaneously in the same coordinate system including the time axis. On the one hand, it simplifies the workflow, on the other hand, because in the same coordinate system, the changes of different parameters with respect to time are synchronized, and the data comparison will be more comparable. More importantly, the above method provides a reference line, which can ensure that the user can read the value of each parameter at a certain time point to a greater extent.

In order to further facilitate the user to read the value of each parameter at a certain point in time, in some embodiments, the processor may be further configured to separately generate the specific value of the parameter corresponding to each intersection point and cause the display device to display it. . With this configuration, the user can read directly without comparing the values of the coordinate axes in the coordinate system, which is more convenient and quicker. Among these intersection points, the intersection point of the reference line and the time axis may also be included, and correspondingly, the display of the specific numerical value may also include the display of the current time point.

In the process of monitoring the ward, different clinical conditions are usually faced, or customized operations need to be carried out according to different individuals. The records of these clinical conditions or operations will be meaningful, and it will help medical staff to review the files of the warded, and then specify more accurate diagnosis and treatment strategies.

In order to facilitate the recording of the above clinical conditions or operations, in some embodiments of the present invention, some annotation methods are further provided. This method may cooperate with the monitoring method 100 above, eg, may be part of the monitoring method 100 above. Alternatively, it can be optionally manipulated by the user as a stand-alone option. The annotation method is described in detail below.

In some embodiments, an annotation function is enabled and the display device displays, and the annotation is mapped to the time point corresponding to the reference line.

Turning on the annotation function can be performed by the processor. Also, there are various ways to enable the annotation function. For example, it may be in response to an instruction to turn on the annotation function. In some embodiments, the above-mentioned instruction can be recognized by judging the user's input, for example, recognizing that the user touches a specific functional area of a display device (eg, a touch screen).

In the present invention, annotations are mapped by the processor to the time points corresponding to the reference lines described above. In this way, during the process of annotating a user, such as a doctor, the annotated information will correspond to the time when the event to be annotated occurred. For example, when annotating the occurrence of an event, the time at which the event occurred can be mapped to the annotation by the processor without additional recording.

In some other embodiments, after the annotation is completed, the processor may save the annotation, and the processor may save the time point corresponding to the reference line mapped by the annotation while saving the annotation. The origin of this save operation can be various. For example, instructions can be saved based on user comments. In some embodiments, the above-mentioned instruction can be recognized by judging the user's input, for example, recognizing that the user touches a specific functional area of a display device (eg, a touch screen). In addition, the saving operation may also be performed automatically by the processor. No longer.

In addition, an export of the above-mentioned data can also be provided. For example, the processor may simultaneously derive: the number of first parameters; the number of second parameters; and the annotation that maps the time point corresponding to the reference line.

It can be understood that the above-mentioned first parameters and second parameters are acquired in real time during acquisition, the processor itself has established the changing trend of these parameters over time, and the above-mentioned annotations are also mapped to the time points corresponding to the reference line during annotation. Therefore, the exported data will have a uniform format and time correspondence. Such a configuration mode can facilitate the user to accurately analyze the data of the monitored person, and does not need to perform additional format adjustment and matching work on multiple parameter data of multiple devices.

As noted above, annotations may be part of the monitoring method 100 of the present invention described above. In this case, annotations of the first and second parameters and the time points corresponding to the mapping reference lines can be derived simultaneously. In some other embodiments, the annotation function is not necessary (or, the annotation is not performed), and in this case, only the plurality of first parameters and the plurality of second parameters can be selected to be exported at the same time. It can be understood that it is also easy for users to obtain data with a uniform format and time correspondence.

In different application scenarios, users have different requirements for different parameters. For example, in an anesthesia scenario, the user may be more concerned about the values of RE and SE, and the values of RE and SE are related to the corresponding drug dosage of the syringe pump. In other scenarios, users may be more concerned about other parameters. In order to better meet user requirements, in some embodiments of the present invention, a solution for adjusting the arrangement order of the above trend graphs is provided. The scheme may be executed by a processor. For example, the processor may adjust the arrangement order of the plurality of trend graphs in a direction perpendicular to the time axis in response to the arrangement instruction. The form of the arrangement instruction may be various. In a non-limiting embodiment, the arrangement instruction may be a sliding after a long touch (eg, staying for more than 3 seconds) on a certain trend graph on the touch screen. After judging the long touch, the processor can activate the arrangement adjustment, and allow the user to drag the current trend graph to another suitable position according to the sliding. When the user's operation on the touch screen ends, the trend graph is positioned at the current location. For example, in order to compare the dosage of a drug with the RE and SE trend graphs more conveniently, the user can drag the trend graph of the drug close to the RE and SE trend graphs to facilitate comparison.

Various parameters acquired by multiple devices are of great significance for users to conduct clinical research. For example, a user may conduct a medical risk study for one or more of these parameters. In some embodiments of the present invention, it can further provide help for the user's research. Referring to FIG. 2, there is shown a flowchart of a method 200 for evaluating physiological information in some embodiments of the present invention.

In step S201, a physiological information evaluation model is received. This process can be performed by a processor. For example, the processor may receive the physiological information evaluation model transmitted by the user through the external device. The physiological information evaluation model may be arbitrary, and may be, for example, a hypotension prediction model for evaluating the risk of hypotension. The way of establishing the model can be arbitrary according to the actual needs of the user. The following is only an exemplary description, and the model is established by deep learning technology.

As discussed in this article, deep learning techniques (also known as deep machine learning, hierarchical learning, or deep structured learning, etc.) can employ deep learning networks (such as artificial neural networks) to process input data to identify information of interest. The learning network can use one or more processing layers (eg, input layer, normalization layer, convolutional layer, pooling layer, output layer), etc., according to different deep learning network models can have different numbers and functions of processing layers), where the configuration and number of layers allow deep learning networks to handle complex information extraction and modeling tasks. Specific parameters (also called "weights" or "biases") of the network are typically estimated through a so-called learning process (or training process). The learned or trained parameters often lead to (or output) a network corresponding to different levels of layers, so extracting or simulating different aspects of the initial data or the output of a previous layer can often represent a hierarchy or cascade of layers. During image processing or reconstruction, this can be characterized as different layers relative to different feature levels in the data. Thus, processing can be done hierarchically, i.e., earlier or higher-level layers can correspond to extracting "simple" features from the input data, followed by layers that combine these simple features into features that exhibit higher complexity. In practice, each layer (or, more specifically, each "neuron" in each layer) may employ one or more linear and/or nonlinear transformations (so-called activation functions) to process input data into output data representations . The number of multiple "neurons" may be constant across multiple layers, or may vary from layer to layer.

As part of the initial training of a deep learning process to solve a particular problem, the training dataset includes known input values (eg, several physiological parameters known, eg, arterial pressure, heart rate, oxygen saturation) and depth The desired (target) output value (eg, hypotension risk) for the final output of the learning process. In this way, a deep learning algorithm can process the training dataset (either in a supervised or guided manner or in an unsupervised or unsupervised manner) until a mathematical relationship between known inputs and desired outputs is identified and/or and characterize the mathematical relationship between the input and output of each layer. The learning process typically takes (part of) input data, and creates a network output for that input data, then compares the created network output to the desired output for that dataset, and then uses the difference between the created and desired output to iteratively Update the parameters of the network (weights and/or biases). Generally, the stochastic gradient descent (SGD) method can be used to update the parameters of the network, however, those skilled in the art will understand that other methods known in the art can also be used to update the network parameters. Similarly, a separate validation dataset can be used to validate the trained learning network, where both the known input and the expected output are known, and the network output can be obtained by feeding the known input to the trained learning network, This network output is then compared to the (known) expected output to validate previous training and/or prevent overtraining.

It should be noted that the above only exemplifies the possible establishment of the physiological evaluation model, and does not limit how the model is obtained by the user. The model obtained in step S201 may also be in any other form.

Subsequently, step S202 is performed to obtain the physiological parameters from the person being monitored. For example, as described above, when evaluating hypotension, corresponding physiological parameters, such as arterial pressure, heart rate, and blood oxygen saturation, can be obtained.

Further, step S203 is performed, and the physiological information of the monitored person is evaluated based on the physiological parameters of the monitored person by using the above-mentioned physiological information evaluation model. Since the physiological information evaluation model has been established and imported by the user, and the current processor has acquired the required physiological parameters, the processor can evaluate the monitored physiological information according to the above model and parameters. For example, an assessment of the risk of hypotension is given.

It should be noted that the above-mentioned hypotension risk evaluation is only an example of the physiological information evaluation of the present invention. In other embodiments, other risk assessments may also be used, eg, hypertension, cardiac arrest, and the like. In other embodiments, the processor may receive multiple models at the same time so as to evaluate multiple physiological information at the same time, which will not be repeated here. Such a configuration method gives the user a very high degree of freedom, and can choose the physiological information evaluation model that needs to be verified, instead of the model that is preset in the monitoring system including the processor.

Some embodiments of the present invention also provide a schematic diagram of a monitoring system 301 .

As shown in FIG. 3 , the monitoring system 301 may include a processor 302 and a display device 303 . Wherein, the processor 302 may execute the method of any of the above-mentioned embodiments, and correspondingly, the display device 303 may be configured to receive the instruction of the processor to display.

In some embodiments, the monitoring system 301 may not include a storage unit, but only store data through an external storage device, including storage of programs executed by the processor and storage of data obtained from other devices. In some other embodiments, the monitoring system 301 may further include a storage unit to directly store data. For example, the monitoring system 301 may be a mobile terminal such as a tablet computer, a portable host, or the like. Alternatively, it could be a remote workstation. It is not repeated here.

FIG. 3 further illustrates an exemplary presentation of data transmission between the monitoring system 301 and the first device 304 and the second device 305 . In some embodiments, the first device 304 and the second device 305 may communicate with the monitoring system 301 through a wireless network such as a local area network, 5G communication and other wireless means as shown in FIG. 3 . In this way, the user can receive the data obtained from the terminal devices including the first device 304 and the second device 305 in real time through the monitoring system 301 at a long distance. In some other embodiments, the first device 304 and the second device 305 may perform short-distance or long-distance communication with the monitoring system 301 in a wired manner, and details are not described herein again.

In addition, it should be noted that, as described above, there may be more than three terminal devices, and are not limited to the first device 304 and the second device 305 . Users can choose according to their needs.

To further illustrate the monitoring system of the present invention, FIG. 4 shows a schematic diagram of a graphical user interface 400 of a monitoring system according to some embodiments of the present invention.

As shown in FIG. 4 , in the graphical user interface 400 , examples of multiple trend graphs and reference lines under the same coordinate system including the time axis 401 are displayed. The trend graphs may include a body temperature trend graph 402, a RE/SE trend graph 403, and an SPI trend graph 404. These trend graphs may be obtained by processing several first parameters obtained by the processor from the first device as described above. . In addition, the trend graph may also include a remifentanil dosage trend graph 405 and a norepinephrine dosage trend graph 406, and these trend graphs may be processed by the processor from the second parameters obtained from the second device as described above. get. These trend graphs 402 - 406 are configured to be arranged in sequence parallel to the time axis 401 . The types of the above trend graphs are only for exemplary description, as mentioned above, users can choose according to their needs.

Reference line 407 is also included. Reference line 407 is configured perpendicular to time axis 401 and intersects each of trend graphs 402-406 to produce an intersection. This configuration ensures that the intersection of each trend graph corresponds to the same moment, which is convenient for users to compare and analyze data.

In an example, the specific value of the corresponding parameter is displayed near each of the above intersection points. For example, the specific value of the body temperature displayed near the intersection in the trend graph 402 is 36.8. In this way, it is more conducive to the direct reading of the user.

In addition, in some embodiments, a time axis adjustment function is also provided. The processor may adjust the time interval of the timeline based on the received instructions. Specifically, as shown in FIG. 4 , a time axis adjustment area 410 may be included. The user can select the current time axis interval size by, for example, clicking on the area. As an example, Figure 4 shows a time axis with a time interval of 30 minutes.

In some other embodiments, a trend graph selection function is also provided. The processor can select the desired trend graph and control the display device to display based on the received instruction. Specifically, as shown in FIG. 4 , a trend graph selection area 420 may be included. As an example, the user can open the trend chart list (not shown in the figure) by, for example, clicking on this area, and select the trend chart to be hidden. For example, in some scenarios, the user does not care about the body temperature trend graph, and can click on the trend graph selection area 420 to hide the body temperature trend graph, thereby helping to reduce the interference to the user caused by too much data.

In addition, the graphical user interface 400 may also include an annotation function selection area (not shown in FIG. 4 ), which is used to assist the user to perform the operations described above, such as opening the annotation function and saving the annotation, and the setting form may be similar to the above time. The axis adjustment area 410 and the trend graph selection area 420 will not be repeated here.

It should be noted that the above-mentioned graphical user interface is used to clearly illustrate the above-mentioned advantages of the present invention. Its specific expression form can be adjusted under the teaching of the present invention.

Some embodiments of the present invention also provide a non-transitory computer-readable medium storing a computer program, the computer program having at least one code segment capable of Executed by a machine such that the machine performs the steps of the method of any of the above embodiments.

Accordingly, the present disclosure may be implemented in hardware, software, or a combination of hardware and software. The present disclosure may be implemented in at least one computer system in a centralized fashion, or in a distributed fashion in which different elements are distributed over several interconnected computer systems. Any kind of computer system or other apparatus suitable for implementing the methods described herein is suitable.

Various embodiments may also be embedded in a computer program product comprising all the features capable of implementing the methods described herein, and which when loaded into a computer system is capable of carrying out these methods. A computer program in this context means any expression in any language, code or notation of a set of instructions intended to cause a system with information processing capabilities to perform a specified function, either directly or following either or both of the following: a ) into another language, code or symbol; b) reproduced in a different material form.

The purpose of providing the above specific embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive, but the present invention is not limited to these specific embodiments. It should be understood by those skilled in the art that various modifications, equivalent substitutions and changes, etc. can also be made to the present invention, as long as these changes do not violate the spirit of the present invention, they should all fall within the protection scope of the present invention.

Claims (14)

1. A guardianship method comprising: Acquiring in real time several first parameters from the first device, where the several first parameters reflect at least part of the physiological information of the monitored person; acquiring several second parameters from the second device in real time; generating a plurality of trend graphs under the same coordinate system including the time axis and displaying them on a display device, wherein the plurality of trend graphs include trend graphs of the plurality of first parameters and trend graphs of the plurality of second parameters, and the plurality of trend graphs are sequentially arranged in a direction perpendicular to the time axis; and generating a reference line perpendicular to the time axis and causing the display device to display the reference line, wherein the reference line is respectively associated with the time axis, the trend graphs of the first parameters and the trend graphs of the second parameters Each of these forms an intersection. 2. The monitoring method according to claim 1, wherein: The first device includes a monitor, and the several first parameters include at least one of body temperature, response entropy, state entropy, and surgical plethysmography index. 3. The monitoring method according to claim 1, wherein: The second device includes a syringe pump, and the number of second parameters includes at least one parameter of the drug injected by the syringe pump. 4. The monitoring method according to any one of claims 1-3, wherein, further comprising: The specific value of the parameter corresponding to each intersection point is respectively generated and displayed on the display device. 5. The monitoring method according to any one of claims 1-3, wherein: The reference lines are generated automatically or in response to generation instructions. 6. The monitoring method according to any one of claims 1-3, wherein, further comprising: Turn on the annotation function and make the display device display, and the annotation is mapped at the time point corresponding to the reference line. 7. The monitoring method according to claim 6, further comprising: Save the annotation and the time point corresponding to the reference line mapped by the annotation. 8. The monitoring method according to claim 7, further comprising: Also export: the plurality of first parameters; the plurality of second parameters; and The annotation of the time point corresponding to the reference line is mapped. 9. The monitoring method according to any one of claims 1-3, further comprising: In response to the adjustment instruction, the reference line is adjusted to move in a direction parallel to the time axis and cause the display device to display. 10. The monitoring method according to any one of claims 1-3, wherein, further comprising: The number of first parameters and the number of second parameters are derived simultaneously. 11. The monitoring method according to any one of claims 1-3, wherein, further comprising: In response to the arrangement instruction, an arrangement order of the plurality of trend graphs in a direction perpendicular to the time axis is adjusted. 12. The monitoring method of claim 1, further comprising: Receive physiological information evaluation model; Obtain physiological parameters from the ward; Using the physiological information evaluation model, the physiological information of the ward is evaluated based on the physiological parameters of the ward. 13. A monitoring system comprising: display device; and processor; of which The processor is configured to perform the method of any one of claims 1-12; the display device is configured to receive instructions from the processor to display. 14. A non-transitory computer readable medium having stored thereon a computer program having at least one code segment executable by a machine to cause the The machine performs the steps of the method of any of claims 1-12.

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