CN111281360A - Health monitoring system for smart bracelet - Google Patents

Abstract

The invention relates to the technical field of health management, in particular to a health monitoring system for an intelligent bracelet, which comprises a bracelet body, wherein a sleep monitoring module, a pulse detection module, a body temperature detection module, a sweat detection module and a main control module are arranged on the bracelet body; the sleep monitoring module, the pulse detection module, the body temperature detection module and the sweat detection module respectively collect sleep data, pulse data, body temperature data and user sweat, and respectively generate a sleep analysis conclusion, a pulse analysis conclusion and a sweat analysis conclusion; the main control module analyzes the sleep analysis conclusion, the pulse analysis conclusion, the body temperature data and the sweat analysis conclusion to generate a health detection conclusion. By adopting the scheme, various data of the user can be accurately collected for analysis, and the user condition is comprehensively reflected through the analysis result.

Description

Health monitoring system for smart bracelet

technical field

The invention relates to the technical field of health management, in particular to a health monitoring system for a smart bracelet.

Background technique

Abnormal changes in sweat composition during human exercise are related to or directly reflect the health of the human body. For example, Na ⁺ is the most electrolyte in human sweat, and it is an important basis for sweat secretion. Its concentration can reflect the symptoms of different types of water and salt metabolism disorders in the human body. For example, athletes, soldiers, workers, etc. will experience severe dehydration and hypernatremia when they work in extreme environments (strength exercise, overheated fire rescue, etc.), and the [Na ⁺ ] in sweat and blood is much higher than normal, If water or electrolytes are not replenished in time, it is likely to cause serious physiological threats and even death.

In addition, with the development of science and technology, telemedicine has appeared in front of everyone. By collecting relevant data of patients remotely, and transmitting the data to remote doctors for diagnosis, users can diagnose their diseases no matter where they are. However, because the common diagnosis methods of traditional Chinese medicine are looking, smelling, asking, and cutting, which requires contact with patients such as pulse, and telemedicine is difficult to feed back the real data of patients to doctors, the application of traditional Chinese medicine in telemedicine is relatively rare. .

Therefore, there is an urgent need for a device that can comprehensively reflect the user's situation and accurately collect user data as the basis for TCM telemedicine.

SUMMARY OF THE INVENTION

The present invention aims to provide a health monitoring system for smart bracelets, which can accurately collect various data of users for analysis, and comprehensively reflect the user's situation through the analysis results.

The basic solution provided by the present invention is: a health monitoring system for a smart wristband, including a wristband body, and the inner wall of the wristband body is provided with a sleep monitoring module, a pulse detection module, a body temperature detection module, a sweat detection module and a main control module The sleep monitoring module is used to collect the user's sleep data in real time, and analyze the sleep data to generate a sleep analysis conclusion; the pulse detection module is used to collect the user's pulse data in real time, and analyze the pulse data to generate a pulse analysis conclusion. The body temperature detection module is used to collect the user's body temperature data in real time, and when the body temperature data exceeds the preset body temperature value and the body temperature data shows a downward trend, a sweat detection signal is generated; the sweat detection module is used to receive sweat detection. When the signal is received, the sweat of the user is collected, and the sweat is analyzed to generate a sweat analysis conclusion; the main control module is used to analyze the sleep analysis conclusion, the pulse analysis conclusion, the body temperature data, and the sweat analysis conclusion to generate a health detection conclusion; the hand A display module is also provided on the outer wall of the ring body, and the display module is used to display the health detection conclusion.

The working principle and beneficial effects of the basic solution: the setting of the wristband body is convenient for the user to wear, and at the same time, the wrist can collect more data, which is convenient for the wristband body to collect various data. The setting of the sleep monitoring module can collect the user's sleep data in real time, the sleep data can reflect the user's sleep time and sleep state, and the sleep analysis conclusion generated by the sleep data can reflect the user's mental state and stress. The setting of the pulse detection module can collect the user's pulse data, the pulse data can reflect the beating intensity and beating frequency of the user's heart, and the pulse analysis conclusion generated by the pulse data can reflect the user's heart state. The setting of the body temperature detection module can collect the user's body temperature data, the body temperature data can reflect the user's body surface condition, and at the same time judge whether the user is sweating through the change of the body temperature data, thereby triggering the sweat detection. The setting of the sweat detection module can collect the user's sweat, analyze the sweat to generate sweat analysis conclusions, and reflect the user's water and salt metabolism by analyzing sweat metabolites, dielectrics and other information. The settings of the main control module can analyze and generate health detection conclusions based on sleep analysis conclusions, pulse analysis conclusions, body temperature data, and sweat analysis conclusions. Through the health detection conclusions, users can quickly know their comprehensive quality. The setting of the display module is convenient for displaying the health detection conclusion for the user to view, and the display module is arranged on the outer wall of the bracelet body, which is convenient for the user to use.

Through the sleep monitoring module, pulse detection module, body temperature detection module and sweat detection module, various data of the user are collected and analyzed, and finally a health detection conclusion is generated, which reflects the comprehensive condition of the user's health through the health detection conclusion.

Further, it also includes a traditional Chinese medicine terminal, and the bracelet body is also provided with an image acquisition module, a voice module and a remote communication module, and the main control module is used to control the image acquisition module and the voice module to start when the remote diagnosis and treatment signal is acquired; The image acquisition module is used to collect the user's facial image, the voice module is used to collect the user's voice information, and the bracelet body is connected to the TCM terminal through the remote communication module, and the facial image, voice information, and pulse data are collected. Sent to the TCM terminal. Beneficial effects: The TCM terminal is used by TCM, and the setting of the remote communication module realizes the remote interaction between the user and the TCM. When the user has a demand for telemedicine, the setting of the image acquisition module can collect the user's facial information, so as to realize the inspection. The setting of the voice module can collect the user's voice information, so that the user can communicate with traditional Chinese medicine, so as to realize the consultation. The setting of the pulse detection module can collect the user's pulse data, so as to realize the diagnosis. Facial information, language information and pulse data are used as the basis of TCM telemedicine, thereby realizing TCM telemedicine diagnosis.

Further, the sleep data includes body movement frequency, and the sleep analysis conclusion includes the duration of the middle sleep period, the duration of the deep sleep period, the duration of the rapid eye movement sleep period, the duration of the light sleep period, the duration of the light sleep period, the sleep level and the sleep score. Beneficial effects: The body movement frequency is related to the user's sleep quality. The higher the body movement frequency, the lower the user's sleep quality. At this time, the user is in a light sleep period (ie light sleep period, light sleep period), and the lower the body movement frequency, the lower the user sleep quality. The higher the sleep quality, the user is in a deep sleep period (ie, the middle sleep period, the deep sleep period, the REM sleep period), and the different sleep periods can be obtained by dividing the body movement frequency, and the length of the user in different sleep periods can be obtained. Statistics can be used to obtain the duration of medium sleep, deep sleep, REM sleep, light sleep, and light sleep. The user can be rated and scored based on the duration of each sleep period, sleep level and sleep duration. The higher the score, the better the user's sleep quality and the better their mental and physical state.

Further, the pulse data includes pulse frequency and pulse intensity, and the pulse analysis conclusion includes pulse state, pulse level and pulse score. Beneficial effects: The pulse frequency reflects the number of heart beats, and the pulse intensity reflects the blood supply of the heart. At the same time, the heart is the organ that can best represent the user's health status. The pulse status includes normal, arrhythmia, tachycardia, bradycardia, insufficient blood supply, etc. , the user's pulse state is used for rating and scoring. The higher the pulse level and the pulse score, the better the user's heart condition and the better his physical health.

Further, the body temperature detection module is preset with a normal body temperature range, and the body temperature detection module is also used to delay when the body temperature data exceeds the normal body temperature range, and when the delay ends, determine again whether the body temperature data exceeds the normal body temperature. range, and if so, a body temperature warning signal will be generated.

Beneficial effects: When the body temperature data exceeds the normal body temperature range, it indicates that the user may have a low or high fever. Through delay, it is judged again whether the body temperature data exceeds the normal body temperature range, thereby reducing misjudgments. If the user actually has a low fever or high fever In the case of temperature, a temperature warning signal is generated, and the user is reminded to take medicine or seek medical treatment in time, which is convenient for rapid control of the disease.

Further, the sweat analysis conclusion includes sodium ion content, potassium ion content, lactic acid concentration, glucose concentration, sweat grade and sweat score. Beneficial effects: Sodium ion, potassium ion, lactic acid, and glucose are metabolites and electrolytes in sweat. According to the content or concentration of metabolites and electrolytes in sweat, the user's physical health status is reflected. The higher the sweat level and sweat score, the more representative the user is better health.

Further, the main control module is preset with a score ratio, and the main control module is also used to generate a body temperature warning signal according to the score ratio, sleep level, sleep score, pulse level, pulse score, sweat level, sweat score, and whether the body temperature is received. A first analysis conclusion, where the first analysis conclusion is a health detection conclusion. Beneficial effects: Different monitoring contents reflect the physical health state in different degrees, and the scoring proportions of different monitoring contents are set, so that the generated first analysis conclusion can accurately reflect the physical health status of the user.

Further, the main control module is preset with a score ratio, and the main control module is also used to determine the duration of the middle sleep period, the deep sleep period, the REM sleep period, the light sleep period, the light sleep period, and the pulse rate. The state, body temperature data, sodium ion content, potassium ion content, lactic acid concentration, and glucose concentration generate a second analysis conclusion, which is a health detection conclusion. Beneficial effect: Compared with generating the first analysis conclusion according to the proportion of scores, sleep level, sleep score, pulse level, pulse score, sweat level, sweat score and whether the body temperature warning signal is received, the method can be directly based on the duration of the mid-sleep period and the deep-sleep period. Duration, REM sleep period, light sleep period, light sleep period, pulse state, body temperature data, sodium ion content, potassium ion content, lactate concentration and glucose concentration to generate a second analysis conclusion, which can fully consider each of the contents Therefore, more influencing factors are considered, so that the final generated second analysis conclusion is closer to the user's physical health status.

Further, the main control module is configured to analyze the sleep analysis conclusion, the pulse analysis conclusion, the body temperature data, and the sweat analysis conclusion when the sweat detection module generates the sweat analysis conclusion. Beneficial effect: The basis of the sweat detection module is to collect sweat, so when the sweat analysis conclusion is generated, the sleep analysis conclusion, pulse analysis conclusion, body temperature data, and sweat analysis conclusion are analyzed to generate the health detection conclusion, ensuring the basis for generating the health detection conclusion. There is the dimension of sweat analysis conclusion in the data, so that the user's physical health status can be more accurately reflected through the health detection conclusion.

Description of drawings

1 is a logical block diagram of Embodiment 1 of a health monitoring system for a smart bracelet according to the present invention;

FIG. 2 is a logical block diagram of Embodiment 2 of a health monitoring system for a smart bracelet according to the present invention.

Detailed ways

The following is further described in detail by specific embodiments:

Example 1

The health monitoring system for smart bracelets, as shown in Figure 1, includes a bracelet body. The inner wall of the bracelet body is provided with a sleep monitoring module, a pulse detection module, a body temperature detection module, a sweat detection module and a main control module.

The sleep monitoring module is used to collect the user's sleep data in real time, and analyze the sleep data to generate a sleep analysis conclusion. In this embodiment, the sleep data includes body movement frequency, and the sleep analysis conclusion includes the duration of the middle sleep period, the duration of the deep sleep period, the duration of the REM sleep period, the duration of the light sleep period, the duration of the light sleep period, the sleep level and the sleep score. The sleep monitoring module includes a sleep collection unit, a sleep analysis unit, and a sleep evaluation unit. The sleep collection unit is used to collect the user's body movement frequency, and the sleep analysis unit is used to analyze the body movement frequency, and calculate the user's sleep time according to the body movement frequency. It is divided into medium sleep period, deep sleep period, REM sleep period, light sleep period and light sleep period, and the duration of each period is counted, that is, the duration of medium sleep period, deep sleep period, and REM sleep period are generated. , duration of light sleep period and duration of light sleep period, the sleep evaluation unit is used to generate and reflect user sleep quality according to the duration of medium sleep period, deep sleep period, REM sleep period, light sleep period and light sleep period , and generate a sleep rating based on the sleep score. The higher the sleep score and the higher the sleep level, the higher the sleep quality of the user and the better his mental and physical state.

The pulse detection module is used to collect the user's pulse data in real time, and analyze the pulse data to generate a pulse analysis conclusion. In this embodiment, the pulse data includes pulse frequency and pulse intensity, and the pulse analysis conclusion includes pulse state, pulse level and pulse score. The pulse detection module includes a pulse collection unit, a pulse analysis unit and a pulse evaluation unit. The pulse collection unit is used to collect the user's pulse frequency and pulse strength. The pulse analysis unit pre-stores a normal frequency range, and the normal frequency range is the human body within one minute under normal conditions. The range of the number of pulse beats. In this embodiment, the normal range of the frequency is 60 to 100. The pulse analysis unit is used to determine the relationship between the pulse frequency and the normal frequency range, and generate a frequency judgment result. When the pulse frequency is within the normal frequency range , the frequency judgment result is that the frequency is normal. When the pulse frequency is greater than the upper limit of the normal frequency range, the frequency judgment result is that the frequency is too fast. When the pulse frequency is less than the upper limit of the normal frequency range, the frequency judgment result is that the frequency is too slow. The pulse evaluation unit is used to generate the pulse state according to the frequency judgment result and the pulse intensity. The pulse state includes normal, tachycardia, bradycardia, insufficient blood supply, etc., and generates a pulse score according to the pulse state, and generates a pulse level according to the pulse score. The higher the pulse score and the higher the pulse level, the better the user's heart condition and the better his physical health.

The body temperature detection module is preset with a normal body temperature range. The body temperature detection module is used to collect the user's body temperature data in real time, and to determine whether the body temperature data collected in real time exceeds the normal body temperature range. At the end of the delay, judge again whether the body temperature data exceeds the normal body temperature range, if so, generate a body temperature warning signal, and send the body temperature warning signal to the main control module and the display module, if not, continue to judge whether the real-time collected body temperature data exceeds the normal body temperature range. . The body temperature detection module is preset with a preset body temperature value, and the body temperature detection module is also used for generating a sweat detection signal when the body temperature data exceeds the preset body temperature value and the body temperature data shows a downward trend, and sends the sweat detection signal to the sweat detection module. When the body temperature drops, it means that the sweat produced by the human body is volatilizing. At this time, there is sweat on the surface of the human body, so sweat detection is triggered.

The sweat detection module is used to collect the user's sweat when receiving the sweat detection signal, and analyze the sweat to generate a sweat analysis conclusion. In this embodiment, the sweat analysis conclusion includes sodium ion content, potassium ion content, lactate concentration, glucose concentration, sweat grade and sweat score. The sweat detection module includes a sweat collection unit, a sweat analysis unit and a sweat evaluation unit. The sweat collection unit is used to collect the user's sweat, and the sweat analysis unit is used to analyze the user's sweat to obtain sodium ion content, potassium ion content, lactic acid concentration and glucose Concentration, the sweat evaluation unit is used to generate a sweat score based on the sodium ion content, potassium ion content, lactate concentration and glucose concentration, and to generate a sweat grade based on the sweat score. The higher the sweat score and the higher the sweat level, the better the health of the user.

The main control module is used to analyze the sleep analysis conclusion, pulse analysis conclusion, body temperature data, and sweat analysis conclusion to generate a health detection conclusion. In this embodiment, the main control module is preset with a score ratio, and the main control module is configured to generate the first score according to the score ratio, sleep level, sleep score, pulse level, pulse score, sweat level, sweat score, and whether a body temperature warning signal is received. One analysis conclusion, the first analysis conclusion is the health detection conclusion. The health detection conclusion is the result of a comprehensive evaluation of the user's physical condition. For example, when the sweat level and sweat score reflect the user's heavy workload, the health detection conclusion is that the physical condition is poor and overworked. Please pay attention to rest; The score, pulse level, pulse score, sweat level, and sweat score are all normal, but when the body temperature warning signal is received, the health test concludes that the physical condition is normal, and there is fever. Please seek medical treatment in time.

In other embodiments, the main control module is configured to analyze the sleep analysis conclusion, pulse analysis conclusion, body temperature data, and sweat analysis conclusion to generate the health detection conclusion when the sweat detection module generates the sweat analysis conclusion. Specifically, according to the duration of medium sleep, deep sleep, REM sleep, light sleep, light sleep, pulse state, body temperature data, sodium ion content, potassium ion content, lactate concentration and glucose concentration A second analysis conclusion is generated, and the second analysis conclusion is a health detection conclusion. When the sodium ion content, potassium ion content, lactic acid concentration and glucose concentration in the user's sweat reflect the user's heavy workload, the health test concludes that the physical condition is poor, overworked, and please pay attention to rest; The duration, REM sleep period, light sleep period, light sleep period, pulse state, sodium ion content, potassium ion content, lactate concentration and glucose concentration were all normal, but when a body temperature warning signal was received, the health detection conclusion was If you are in general physical condition and have a fever, please seek medical attention in time.

There is a display module on the outer wall of the bracelet body, and the display module is used to display an early warning signal to reflect the user's fever condition, so as to seek medical treatment in time. The display module is also used to display the health detection conclusion, which is convenient for the user to view.

Embodiment 2

The difference between this embodiment and Embodiment 1 is that as shown in FIG. 2 , a TCM terminal is also included, and the TCM terminal is used by TCM. In this embodiment, the TCM terminal is a PC terminal capable of remote video calls.

The body of the bracelet is also provided with an image acquisition module, a voice module and a remote communication module. The main control module is used to acquire the user's remote diagnosis and treatment signals, and when the remote diagnosis and treatment signals are obtained, it controls the image acquisition module and the voice module to start; image acquisition The module is used to collect the user's facial image, and the voice module is used to collect the user's voice information. The body of the bracelet communicates with the Chinese medicine terminal through the remote communication module, and sends the facial image, voice information, and pulse data to the Chinese medicine terminal, so that the user can Remote interaction with traditional Chinese medicine, using facial information, language information and pulse data as the basis for traditional Chinese medicine inspection, inquiries and incision, thus realizing the remote medical diagnosis of traditional Chinese medicine.

Embodiment 3

The difference between this embodiment and the first embodiment is that different activation actions are set for different users to ensure the accuracy of the analysis conclusion of the current user.

For example, the user of the bracelet body is A, and A's family or friends are B. B is very interested in the body of the bracelet, so he borrows the body of the bracelet from A to try it on. The bracelet body is returned to A, that is, the various data collected by the bracelet body during the try-on period are B's data. When analyzing the conclusion, body temperature data, sweat analysis conclusion and health inspection conclusion, the data of B needs to be excluded, so it is necessary to distinguish different users.

The bracelet body further includes a user setting module, and the user setting module includes an action setting unit, a posture detection unit, a user recording unit and a time recording unit.

The action setting unit is used to receive the user's start setting signal and end setting signal, and send them to the posture detection unit. The attitude detection unit is used to start collecting the user's motion track when receiving the start setting signal, stop collecting when receiving the end setting signal, and send the collected motion track to the user recording unit. The user recording unit is used to store the motion track and name the motion track. For the convenience of description, the user number is used as the name of the motion track, so as to distinguish different motion tracks. For example, A's movement trajectory is to draw two circles in a row, and A's user number is A. When B needs to try it on, set a new movement trajectory, such as swinging up and down twice, record the new movement trajectory at this time, and put the The user ID of the new motion track is defined as B.

The action setting unit is further configured to send the user's replacement signal to the posture detection unit and the user recording unit when the user's replacement signal is received. The attitude detection unit is used to collect the user's motion trajectory as the target trajectory when receiving the replacement signal, and send it to the user recording unit. The user recording unit is used to match the target track with the stored motion track when receiving the replacement signal. When there is a match, the user number of the motion track matched with the target track is used as the current user. When there is no match , and re-collect the user's motion trajectory as the target trajectory. The time recording unit is used to record the usage time of different user numbers. For example, after recording B's movement track, receiving the user's replacement signal, B wears the wristband body and flips it up and down twice, and the wristband body determines the current user's user number as B according to B's actions, thus completing the replacement Users, distinguish different users by user numbers, and distinguish which user the collected data belongs to according to the usage time of different user numbers. When generating sleep analysis conclusions, pulse analysis conclusions, body temperature data, sweat analysis conclusions, and health detection conclusions, the user ID of the current user needs to be obtained first, and the data collected during the usage time corresponding to the user ID is used to analyze and generate Relevant conclusions, thereby increasing the safety of using the bracelet body, ensuring the accuracy of the generated relevant conclusions, and facilitating the promotion of the bracelet body.

The above are only the embodiments of the present invention, and the common knowledge such as the well-known specific structures and characteristics in the scheme has not been described too much here. Those of ordinary skill in the art know that the invention belongs to the technical field before the filing date or the priority date. Technical knowledge, can know all the prior art in this field, and have the ability to apply conventional experimental means before the date, those of ordinary skill in the art can improve and implement this scheme in combination with their own ability under the enlightenment given in this application, Some typical well-known structures or well-known methods should not be an obstacle to those skilled in the art from practicing the present application. It should be pointed out that for those skilled in the art, some modifications and improvements can be made without departing from the structure of the present invention. These should also be regarded as the protection scope of the present invention, and these will not affect the implementation of the present invention. Effectiveness and utility of patents. The scope of protection claimed in this application shall be based on the content of the claims, and the descriptions of the specific implementation manners in the description can be used to interpret the content of the claims.

Claims (9)

1. A health monitoring system for intelligent bracelet, its characterized in that: the multifunctional bracelet comprises a bracelet body, wherein a sleep monitoring module, a pulse detection module, a body temperature detection module, a sweat detection module and a main control module are arranged on the inner wall of the bracelet body;

the sleep monitoring module is used for collecting sleep data of a user in real time and analyzing the sleep data to generate a sleep analysis conclusion;

the pulse detection module is used for acquiring pulse data of a user in real time and analyzing the pulse data to generate a pulse analysis conclusion;

the body temperature detection module is used for acquiring body temperature data of a user in real time and generating a sweat detection signal when the body temperature data exceeds a preset body temperature value and is in a descending trend;

the sweat detection module is used for collecting sweat of the user when receiving the sweat detection signal again, analyzing the sweat and generating a sweat analysis conclusion;

the main control module is used for analyzing the sleep analysis conclusion, the pulse analysis conclusion, the body temperature data and the sweat analysis conclusion to generate a health detection conclusion;

still be equipped with display module on the outer wall of bracelet body, display module is used for showing the health detection conclusion.

2. The health monitoring system for smart bracelet of claim 1, wherein: the bracelet body is also provided with an image acquisition module, a voice module and a remote communication module, and the main control module is used for controlling the image acquisition module and the voice module to be started when acquiring a remote diagnosis and treatment signal; the image acquisition module is used for acquiring facial images of users, the voice module is used for acquiring voice information of the users, the bracelet body is in communication connection with the traditional Chinese medicine terminal through the remote communication module, and the facial images, the voice information and the pulse data are sent to the traditional Chinese medicine terminal.

3. The health monitoring system for smart bracelet of claim 1, wherein: the sleep data comprises body movement frequency, and the sleep analysis conclusion comprises middle sleep period duration, deep sleep period duration, rapid eye movement sleep period duration, light sleep period duration, sleep grade and sleep score.

4. The health monitoring system for a smart bracelet of claim 3, wherein: the pulse data comprises pulse frequency and pulse intensity, and the pulse analysis conclusion comprises pulse state, pulse grade and pulse score.

5. The health monitoring system for a smart bracelet of claim 4, wherein: the body temperature detection module is preset with a normal body temperature range, and is further used for delaying when the body temperature data exceeds the normal body temperature range, judging whether the body temperature data exceeds the normal body temperature range again when the delay is finished, and if so, generating a body temperature early warning signal.

6. The health monitoring system for a smart bracelet of claim 5, wherein: the sweat analysis conclusions include sodium ion content, potassium ion content, lactic acid concentration, glucose concentration, sweat grade, and sweat score.

7. The health monitoring system for smart bracelet of claim 6, wherein: the main control module is preset with a score proportion and is further used for generating a first analysis conclusion according to the score proportion, the sleep grade, the pulse grade, the sweat grade and whether the body temperature early warning signal is received or not, and the first analysis conclusion is a health detection conclusion.

8. The health monitoring system for smart bracelet of claim 6, wherein: the main control module is preset with a scoring proportion and is further used for generating a second analysis conclusion according to the middle sleep period duration, the deep sleep period duration, the rapid eye movement sleep period duration, the light sleep period duration, the pulse state, the body temperature data, the sodium ion content, the potassium ion content, the lactic acid concentration and the glucose concentration, and the second analysis conclusion is a health detection conclusion.

9. The health monitoring system for a smart bracelet of claim 8, wherein: the main control module is used for analyzing the sleep analysis conclusion, the pulse analysis conclusion, the body temperature data and the sweat analysis conclusion when the sweat detection module generates the sweat analysis conclusion.

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