CN112071393A - Exercise guiding control system based on real-time and historical physiological data of patient - Google Patents

Abstract

The present invention discloses an exercise guidance control system based on real-time and historical physiological data of patients, including a rehabilitation health cloud 1, an exercise equipment module 2, an emergency assistance unit 3, a medical care evaluation and guidance module 4, a wearable device 6 and a sports exercise Database 7. The present invention adopts the method of self-adaptive learning by using the data of the rehabilitation monitoring cloud, thereby generating an exercise plan that is more suitable for exercisers to exercise their bodies, and used for providing exerciser guidance, thereby providing exercise safety and comfort. The exercise guidance of the present application mainly relies on the exercise system to automatically generate an exercise plan, which reduces the participation of medical staff, thereby reducing the demand for medical staff.

Description

An exercise guidance control system based on real-time and historical physiological data of patients

technical field

The invention relates to the technical field of healthy exercise management, in particular to an exercise guidance control system based on real-time and historical physiological data of patients.

Background technique

With the development of economy and technology, people have already moved from a good life to a healthy life. Specifically, when the living standard has reached a prosperous and well-off living standard, people take health as the key pursuit goal. In order to ensure the health of the body, exercise is the most direct, effective and easiest way.

For exercise, it includes indoor exercise mode and outdoor exercise mode. As an outdoor exercise mode, it has the following characteristics. Considering the air, indoor air is not circulated, and we need fresh air for exercise. The outdoor exercise air is better, and it is often more suitable for exercise; when the weather is good, it is better to go out to exercise, and the outdoors can make people feel happy; in general, when you are in good health, try to exercise outdoors, where the air is good. Refreshing; if you are in poor health, you can do simple exercises indoors, which can promote blood circulation; leaving the city full of high-rise buildings and stepping into the embrace of nature with a quiet mood, outdoor exercise is a special Physical exercise, which consumes a lot of physical strength and energy, is a better way to keep fit. It can also reduce stress and forget about troubles. The vastness of Baina Dachuan can overcome psychological problems such as narrowness of body and mind, and make you open-minded. It can be seen that outdoor and outdoor exercise have their own advantages and disadvantages. Therefore, when exercising, you need to choose a reasonable exercise method according to your needs and your own situation.

In fact, an unreasonable way of exercising is not only not beneficial to the physical health of the exercising body, on the contrary, it may bring about harmful consequences. For example, when the weather conditions are not good, such as haze weather, air particle floating objects (such as PM2.5, etc.) or sandstorm weather that is more common in the north, exercising in these environments is not good for physical exercise, but will Because of inhaling these air floaters, it is not good for the lungs and affects the health of the body; for the weather conditions, it is usually based on the weather forecast or the weather conditions of the mobile phone, and the exerciser judges by himself whether to exercise outdoors or not to exercise based on the above weather conditions;

For example, patent CN103445766B discloses a state monitoring method and device based on the comparison of historical physiological data and physical data, the device includes a wearing mechanism, an alarm module, a physiological state detection module, a physical state detection module, a state information storage module, and a comparison module; The specific methods are as follows: 1) Continuously collect the biometric features of the user in normal state and the physical features associated with the biometric features, and store them to form historical data; 2) Detect the current user's biometric features and physical features, and compare the results obtained in step 1). Compare the historical data of the data to determine whether the physical features similar to the currently detected physical features in the historical data and the biological features in the historical data associated with it under normal conditions are similar to the currently detected biological features; 3) If they are similar, store the currently detected biological features and physical features as part of the historical data; if they are not similar, send out an alarm signal. The invention uses an intelligent device that simultaneously detects physiological and physical characteristics and compares it with the historical data of the wearer and other groups of people. It can infer the content of personnel activities according to the physical characteristics, and then combine the physiological state parameters to determine whether the wearer is in danger. Suitable for people who live alone, exercise alone, sentinels, etc. Overcoming the deficiency in the prior art that the human body biometric monitoring device can only monitor the biometrics only, the method of correlating and combining physical features and biometrics can be used to determine the current motion state of the user and the biological features in the motion state. Whether the feature is in a normal state. And it can infer what kind of danger or movement state the user is in, which greatly improves the accuracy and comprehensiveness of monitoring.

Patent CN111462859A discloses a sports rehabilitation course system based on tag management, including a server, a management terminal, a medical terminal and a patient terminal. The server stores rehabilitation action information. The management terminal is used for rehabilitation action management, from multiple dimensions. The action labels bound to the rehabilitation actions and the course templates preset by the editing system are generated. The medical staff edits the module or creates a new rehabilitation course through the medical terminal, and the server sends the rehabilitation action course to the patient terminal. The invention realizes the rehabilitation action through the action label. Standardized management of information, and it is convenient for medical staff to quickly and accurately find rehabilitation movements according to the actual situation of the patient and generate the final rehabilitation movement course. Adverse effects caused by inappropriate rehabilitation movements.

Patent 107610780A is an analysis and evaluation system and method for physiological information data, which discloses an analysis and evaluation system for physiological information data. The single health index calculation module is also provided with a historical data analysis module. There is a normalization index adjustment module, and the historical data analysis module is used to compare and analyze the new physiological information data, the corresponding historical physiological information data and the reference target value, and obtain the historical change trend result of the physiological information data. The normalization index adjustment module adjusts the normalization index of the new physiological information data according to the historical change trend results. To achieve a more reasonable and targeted evaluation, a more intuitive and comprehensive reflection of human health status, and a more scientific reflection of the effect of changing trends in physiological information.

Therefore, it can be seen that the patent CN111462859A uses the full participation of medical staff to continuously judge and label the patient's physical condition, thereby producing rehabilitation courses, but this requires a large number of medical staff to participate, which increases the cost of healthy exercise. Moreover, the subjective experience of medical staff is required, which requires high overall quality of medical staff, which easily leads to a shortage of medical staff and makes medical staff more difficult.

The patent CN103445766B discloses a state monitoring method based on the comparison of historical physiological data and physical data, which is only used to judge the physical state of the user. Therefore, how to propose a suitable way of exercising, using advanced computer technology to evaluate the physical state of patients, and to provide suitable exercise methods, will greatly simplify the workload of medical staff and reduce the quality of medical staff Require.

In addition, in the process of physical exercise, exercise will make the heartbeat, respiration and pulse speed up, and blood flow faster. However, some people with dark diseases, older age, or poor physical fitness, if the time and intensity of exercise are not Reasonable, it will lead to physical deterioration, not enough to exercise to improve physical conditions, mild cases of illness, and even lead to death and other situations. In addition, each person's physique difference and recent exercise situation will also affect the intensity of exercise and the exercise market.

Finally, in order to obtain the physiological parameters of patients, there are also many wearable devices and even mobile phones on the market. Among them, wearable devices such as smart watches that are particularly popular today, such as Huawei watches, Xiaomi watches, etc. However, this Such equipment mainly measures the exercise time, heart rate, pulse and other information of the exerciser, and cannot actively guide the exerciser to choose the appropriate exercise mode.

It can be seen that the current physical exercise is still mainly based on the guidance of medical staff, or the exercise method is selected by exercising one's own experience. It is hoped to provide a more intelligent exercise guidance equipment and control system, according to the patient's self-evaluation system, to help exercisers choose a suitable exercise place, and set a reliable equipment for guiding exercise intensity, and customize a more reliable exercise according to the user's intelligence. There is no effective technical means to solve the above technical problems at present.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide an exercise guidance control system based on real-time and historical physiological data of patients, so as to solve the problems raised in the above background art.

In order to achieve the above purpose, the present invention provides the following technical solutions: a kind of exercise guidance control system based on real-time and historical physiological data of patients, including rehabilitation health cloud 1, exercise equipment module 2, emergency assistance unit 3, medical care evaluation and guidance module 4, Wearable device 6 and exercise database 7;

The rehabilitation health cloud 1 is in communication connection with the exercise equipment module 2, the emergency request unit 3, the medical care evaluation and guidance module 4, the wearable device 6 and the exercise database 7;

The health cloud includes a weather condition acquisition module, a calculation and planning module, and an exercise evaluation control module; wherein, the weather condition acquisition module obtains real-time weather conditions to provide exercisers and a calculation and planning module;

The exercise database 7 also stores the gender, height, weight, exercise intensity information of people of different ages, the comparison table of exercise duration and exerciser's heart rate, pulse and respiration information; exerciser's historical exercise situation table, exerciser's individual exerciser recent exercise;

The calculation and planning module automatically reads the meteorological conditions, the exercise situation of the individual exerciser in the recent period, the historical exercise situation and the improvement of the physical fitness and the exercise mode of the individual exerciser, and produces a suitable exercise plan, which is provided to all exercisers. The exercise evaluation control module is sent to the wearable device and the corresponding exercise equipment module by the exercise evaluation control module through a signal connection;

The exercise evaluation control module is used for judging according to the exerciser's physical condition and physiological parameters, and comparing with the exercise plan, when the exercise intensity exceeds the exercise intensity of the exercise plan, or the exercise method is not suitable, The exercise evaluation control module sends an alarm signal, wherein the exerciser's physical condition and physiological parameters are obtained through the wearable device 6; the physiological parameters include the exerciser's heart rate, pulse and breathing information;

Wherein, the calculation and planning module reads the physical information of the exerciser, uses each record of the record sheet of the comparison table of the sports exercise database 7, adopts the training method of neural network, and inputs the physical information of the exerciser , obtain the preliminary planning table of the exerciser's exercise intensity, exercise duration information and the expected exerciser's heart rate, pulse and breathing information, and use the exerciser's recent exercise situation to carry out weighted evaluation, and revise the preliminary planning table, Get the final exercise plan;

The wearable device 6 is connected to the rehabilitation health cloud and reads the exercise plan, so as to guide the exerciser to exercise according to the exercise plan through the wearable device 6; When the physiological parameters of the exercise plan are inconsistent, the wearable device sends out an alarm signal.

Preferably, the wearable device is provided with a patient physiological sensing module and an alarm cancellation button for sensing the patient's physiological data. If the patient's physiological data exceeds the normal range, an alarm signal will be issued to remind the exerciser to stop exercising or reduce exercise. The patient can cancel the alarm by pressing the cancel button; if it exceeds the normal range for a certain period of time and the patient does not press the cancel button, the wearable device will send the alarm signal to the health rehabilitation cloud, and the health rehabilitation cloud will alarm the emergency center. And contact the patient's relatives, or the competent medical staff.

Preferably, the exercise guidance control system further includes a medical care evaluation and guidance module, the medical care evaluation and guidance module can be remotely connected with medical staff, and the medical staff can remotely read the physical data of the exerciser, so as to amend the exercise plan. Exercise plan, so as to be more suitable for the exerciser's own situation to exercise. In this way, the exercise guidance of the present application mainly relies on the exercise system to automatically generate an exercise plan, which reduces the participation of medical staff, thereby reducing the demand for medical staff.

Preferably, the meteorological conditions include at least weather conditions, air temperature and the value of PM2.5 in the air; the exercise evaluation control module can judge whether the exerciser is suitable to choose whether to go out to exercise or to exercise according to the physical condition and physiological condition of the exerciser. Indoor exercise.

Preferably, the wearable device includes an allergen sensing module, the allergen module is used to detect pollen and other floating object allergens, when the allergen sensing module detects that the allergen exceeds the exerciser's regulations When the range value is within the range, the wearable device sends out an alarm signal to remind the exerciser to leave the exercise place in time or take corresponding protective measures.

Preferably, the exercise equipment module includes a sensing module, the sensing module includes a video and audio sensing module, the video module can acquire exercise video information of the exerciser, and the audio module acquires exercise audio information of the exerciser , so that the audio and video information of the exerciser can be signal-connected to the central control module, so that the medical staff can remotely guide the exercise through the medical care evaluation and guidance module.

Preferably, a patient information input terminal is also included, which is used for inputting the basic physiological and pathological information of the patient and the desired goal of rehabilitation exercise, so that it is more convenient to obtain exercise information and propose exercise requirements.

Preferably, when the exercise equipment module or the wearable device senses that an abnormal situation occurs in the personnel, the abnormal situation is sent to the rehabilitation monitoring cloud, and the rehabilitation monitoring cloud sends the alarm information to the medical evaluation and guidance module, Therefore, the medical staff can learn about the condition in time, propose an emergency rescue method, and at the same time, through the emergency rescue unit 3, they can call 120 or other emergency terminals for help.

Preferably, the exercise equipment module senses the wearable device by means of RFID, and when the exerciser approaches the exercise equipment, the exercise equipment and the wearable device establish a connection by means of RFID communication, and read the exercise plan , to provide exercise program guidance for exercisers.

It should be noted that the exercise situation in the recent period refers to the exercise record data of the last three months, and the historical exercise situation refers to all exercise data earlier than the latest exercise record.

In another aspect, the present application also provides an exercise guidance control method based on the real-time and historical physiological data of the patient, including an exercise guidance control system based on the real-time and historical physiological data of the patient,

The health cloud includes a weather condition acquisition module, a calculation and planning module, and an exercise evaluation control module; wherein, the weather condition acquisition module obtains real-time weather conditions to provide exercisers and a calculation and planning module;

The exercise database 7 also stores the gender, height, weight, exercise intensity information of people of different ages, the comparison table of exercise duration and exerciser's heart rate, pulse and respiration information; exerciser's historical exercise situation table, exerciser's individual exerciser recent exercise;

The basic physiological and pathological information of the patient and the expected goal of rehabilitation exercise are entered, and the calculation and planning module reads the physical information of the exerciser, uses each record of the record sheet of the comparison table of the exercise exercise database 7, and adopts the neural network method. training method, and inputting the physical information of the exerciser to obtain a preliminary planning table of the exerciser's exercise intensity, exercise duration information and expected heart rate, pulse and breathing information of the exerciser, and using the exerciser's recent exercise Carry out weighted evaluation of the situation, revise the preliminary planning table, and obtain the final exercise plan; provide it to the exercise evaluation control module, and send the exercise evaluation control module to the wearable device and the corresponding The exercise equipment module;

The wearable device 6 is connected to the rehabilitation health cloud and reads the exercise plan, so as to guide the exerciser to exercise according to the exercise plan through the wearable device 6; after monitoring the exerciser's physiological parameters and the exercise When the physiological parameters of the plan are inconsistent, the wearable device sends out an alarm signal;

At the same time, the exercise evaluation control module judges according to the exerciser's physical condition and physiological parameters, and compares with the exercise plan, when the exercise intensity exceeds the exercise intensity of the exercise plan, or is not suitable for the exercise method, The exercise evaluation control module sends an alarm signal, wherein the exerciser's physical condition and physiological parameters are obtained through the wearable device 6; the physiological parameters include the exerciser's heart rate, pulse and breathing information;

In addition, the exercise equipment module senses the wearable device by means of RFID, and when the exerciser approaches the exercise equipment, the exercise equipment and the wearable device establish a connection by means of RFID communication, and read the exercise plan, Provide exercise program guidance for exercisers.

Preferably, the wearable device is provided with a patient physiological sensing module and an alarm cancellation button for sensing the patient's physiological data. If the patient's physiological data exceeds the normal range, an alarm signal will be issued to remind the exerciser to stop exercising or reduce exercise. The patient can cancel the alarm by pressing the cancel button; if it exceeds the normal range for a certain period of time and the patient does not press the cancel button, the wearable device will send the alarm signal to the health rehabilitation cloud, and the health rehabilitation cloud will alarm the emergency center. And contact the patient's relatives, or the competent medical staff.

Preferably, the exercise guidance control system further includes a medical care evaluation and guidance module, the medical care evaluation and guidance module can be remotely connected with medical staff, and the medical staff can remotely read the physical data of the exerciser, so as to amend the exercise plan. Exercise plan, so as to be more suitable for the exerciser's own situation to exercise. In this way, the exercise guidance of the present application mainly relies on the exercise system to automatically generate an exercise plan, which reduces the participation of medical staff, thereby reducing the demand for medical staff.

Preferably, the wearable device includes an allergen sensing module, the allergen module is used to detect pollen and other floating object allergens, when the allergen sensing module detects that the allergen exceeds the exerciser's regulations When the range value is within the range, the wearable device sends out an alarm signal to remind the exerciser to leave the exercise place in time or take corresponding protective measures.

Preferably, the exercise equipment module includes a sensing module, the sensing module includes a video and audio sensing module, the video module can acquire exercise video information of the exerciser, and the audio module acquires exercise audio information of the exerciser , so that the audio and video information of the exerciser can be signal-connected to the central control module, so that the medical staff can remotely guide the exercise through the medical care evaluation and guidance module.

Preferably, when the exercise equipment module or the wearable device senses that an abnormal situation occurs in the personnel, the abnormal situation is sent to the rehabilitation monitoring cloud, and the rehabilitation monitoring cloud sends the alarm information to the medical evaluation and guidance module, Therefore, the medical staff can learn about the condition in time, propose an emergency rescue method, and at the same time, through the emergency rescue unit 3, they can call 120 or other emergency terminals for help.

Compared with the prior art, the beneficial effects of the present invention are:

1. The present invention adopts the method of self-adaptive learning by utilizing the data of the rehabilitation monitoring cloud, thereby generating an exercise plan that is more in line with the exerciser's physical exercise, and is used for the provided exerciser's guidance, thereby providing exercise safety and comfort. . The exercise guidance of the present application mainly relies on the exercise system to automatically generate an exercise plan, which reduces the participation of medical staff, thereby reducing the needs of medical staff.

2. In the exercise control system of the present invention, the exerciser's physical quality, exercise situation, and current weather conditions are fully considered, and an appropriate exercise mode is selected to make the exerciser's exercise more comfortable, and at the same time, inappropriate exercise methods are avoided. to provide a smarter way of exercising.

3. In the exercise control system of the present invention, when the exerciser's body is no longer suitable for the current exercise intensity or equipment, an alarm message is issued to remind the exerciser to stop exercising in time, or to reduce the exercise degree to better protect the exerciser.

4. The exercise control system of the present application is also connected to the medical management management terminal, so that the medical staff can use more professional techniques and judgments to select an appropriate exercise mode, so as to make more use of the exercisers to restore their bodies.

Description of drawings

FIG. 1 is a schematic diagram of the overall structure of the exercise guidance control system based on the real-time and historical physiological data of the patient according to the present invention.

In the picture: 1. Rehabilitation and health cloud; 2. Exercise equipment module; 3. Emergency help unit; 4. Medical care evaluation and guidance module; 6. Wearable equipment; 7. Exercise database.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Please refer to FIG. 1 , the present invention provides a technical solution: an exercise guidance control system based on real-time and historical physiological data of patients, including a rehabilitation health cloud 1, an exercise equipment module 2, an emergency request unit 3, and a medical evaluation and guidance module 4 , wearable device 6 and exercise database 7;

The rehabilitation health cloud 1 is in communication connection with the exercise equipment module 2, the emergency request unit 3, the medical care evaluation and guidance module 4, the wearable device 6 and the exercise database 7;

The health cloud includes a weather condition acquisition module, a calculation and planning module, and an exercise evaluation control module; wherein, the weather condition acquisition module obtains real-time weather conditions to provide exercisers and a calculation and planning module;

The exercise database 7 also stores the gender, height, weight, exercise intensity information of people of different ages, the comparison table of exercise duration and exerciser's heart rate, pulse and respiration information; exerciser's historical exercise situation table, exerciser's individual exerciser recent exercise;

The calculation and planning module automatically reads the meteorological conditions, the exercise situation of the individual exerciser in the recent period, the historical exercise situation and the improvement of the physical fitness and the exercise mode of the individual exerciser, and produces a suitable exercise plan, which is provided to all exercisers. The exercise evaluation control module is sent to the wearable device and the corresponding exercise equipment module by the exercise evaluation control module through a signal connection;

The exercise evaluation control module is used for judging according to the exerciser's physical condition and physiological parameters, and comparing with the exercise plan, when the exercise intensity exceeds the exercise intensity of the exercise plan, or the exercise method is not suitable, The exercise evaluation control module sends an alarm signal, wherein the exerciser's physical condition and physiological parameters are obtained through the wearable device 6; the physiological parameters include the exerciser's heart rate, pulse and breathing information;

Wherein, the calculation and planning module reads the physical information of the exerciser, uses each record of the record sheet of the comparison table of the sports exercise database 7, adopts the training method of neural network, and inputs the physical information of the exerciser , obtain the preliminary planning table of the exerciser's exercise intensity, exercise duration information and the expected exerciser's heart rate, pulse and breathing information, and use the exerciser's recent exercise situation to carry out weighted evaluation, and revise the preliminary planning table, Get the final exercise plan;

The wearable device 6 is connected to the rehabilitation health cloud and reads the exercise plan, so as to guide the exerciser to exercise according to the exercise plan through the wearable device 6; When the physiological parameters of the exercise plan are inconsistent, the wearable device sends out an alarm signal.

Preferably, the wearable device is provided with a patient physiological sensing module and an alarm cancellation button for sensing the patient's physiological data. If the patient's physiological data exceeds the normal range, an alarm signal will be issued to remind the exerciser to stop exercising or reduce exercise. The patient can cancel the alarm by pressing the cancel button; if it exceeds the normal range for a certain period of time and the patient does not press the cancel button, the wearable device will send the alarm signal to the health rehabilitation cloud, and the health rehabilitation cloud will alarm the emergency center. And contact the patient's relatives, or the competent medical staff.

Preferably, the exercise guidance control system further includes a medical care evaluation and guidance module, the medical care evaluation and guidance module can be remotely connected with medical staff, and the medical staff can remotely read the physical data of the exerciser, so as to amend the exercise plan. Exercise plan, so as to be more suitable for the exerciser's own situation to exercise. In this way, the exercise guidance of the present application mainly relies on the exercise system to automatically generate an exercise plan, which reduces the participation of medical staff, thereby reducing the demand for medical staff.

Preferably, the meteorological conditions include at least weather conditions, air temperature and the value of PM2.5 in the air; the exercise evaluation control module can judge whether the exerciser is suitable to choose whether to go out to exercise or to exercise according to the physical condition and physiological condition of the exerciser. Indoor exercise.

Preferably, the wearable device includes an allergen sensing module, the allergen module is used to detect pollen and other floating object allergens, when the allergen sensing module detects that the allergen exceeds the exerciser's regulations When the range value is within the range, the wearable device sends out an alarm signal to remind the exerciser to leave the exercise place in time or take corresponding protective measures.

Preferably, the exercise equipment module includes a sensing module, the sensing module includes a video and audio sensing module, the video module can acquire exercise video information of the exerciser, and the audio module acquires exercise audio information of the exerciser , so that the audio and video information of the exerciser can be signal-connected to the central control module, so that the medical staff can remotely guide the exercise through the medical care evaluation and guidance module.

Preferably, a patient information input terminal is also included, which is used for inputting the basic physiological and pathological information of the patient and the desired goal of rehabilitation exercise, so that it is more convenient to obtain exercise information and propose exercise requirements.

Preferably, when the exercise equipment module or the wearable device senses that an abnormal situation occurs in the personnel, the abnormal situation is sent to the rehabilitation monitoring cloud, and the rehabilitation monitoring cloud sends the alarm information to the medical evaluation and guidance module, Therefore, the medical staff can learn about the condition in time, propose an emergency rescue method, and at the same time, through the emergency rescue unit 3, they can call 120 or other emergency terminals for help.

Preferably, the exercise equipment module senses the wearable device by means of RFID, and when the exerciser approaches the exercise equipment, the exercise equipment and the wearable device establish a connection by means of RFID communication, and read the exercise plan , to provide exercise program guidance for exercisers.

It should be noted that the exercise situation in the recent period refers to the exercise record data of the last three months, and the historical exercise situation refers to all exercise data earlier than the latest exercise record.

Specific embodiment two:

An exercise guidance control method based on real-time and historical physiological data of patients, including an exercise guidance and control system based on real-time and historical physiological data of patients,

The health cloud includes a weather condition acquisition module, a calculation and planning module, and an exercise evaluation control module; wherein, the weather condition acquisition module obtains real-time weather conditions to provide exercisers and a calculation and planning module;

The exercise database 7 also stores the gender, height, weight, exercise intensity information of people of different ages, the comparison table of exercise duration and exerciser's heart rate, pulse and respiration information; exerciser's historical exercise situation table, exerciser's individual exerciser recent exercise;

The basic physiological and pathological information of the patient and the expected goal of rehabilitation exercise are entered, and the calculation and planning module reads the physical information of the exerciser, uses each record of the record sheet of the comparison table of the exercise exercise database 7, and adopts the neural network method. training method, and inputting the physical information of the exerciser to obtain a preliminary planning table of the exerciser's exercise intensity, exercise duration information and expected heart rate, pulse and breathing information of the exerciser, and using the exerciser's recent exercise Carry out weighted evaluation of the situation, revise the preliminary planning table, and obtain the final exercise plan; provide it to the exercise evaluation control module, and send the exercise evaluation control module to the wearable device and the corresponding The exercise equipment module;

The wearable device 6 is connected to the rehabilitation health cloud and reads the exercise plan, so as to guide the exerciser to exercise according to the exercise plan through the wearable device 6; after monitoring the exerciser's physiological parameters and the exercise When the physiological parameters of the plan are inconsistent, the wearable device sends out an alarm signal;

At the same time, the exercise evaluation control module judges according to the exerciser's physical condition and physiological parameters, and compares with the exercise plan, when the exercise intensity exceeds the exercise intensity of the exercise plan, or is not suitable for the exercise method, The exercise evaluation control module sends an alarm signal, wherein the exerciser's physical condition and physiological parameters are obtained through the wearable device 6; the physiological parameters include the exerciser's heart rate, pulse and breathing information;

In addition, the exercise equipment module senses the wearable device by means of RFID, and when the exerciser approaches the exercise equipment, the exercise equipment and the wearable device establish a connection by means of RFID communication, and read the exercise plan, Provide exercise program guidance for exercisers.

Preferably, the wearable device is provided with a patient physiological sensing module and an alarm cancellation button for sensing the patient's physiological data. If the patient's physiological data exceeds the normal range, an alarm signal will be issued to remind the exerciser to stop exercising or reduce exercise. The patient can cancel the alarm by pressing the cancel button; if it exceeds the normal range for a certain period of time and the patient does not press the cancel button, the wearable device will send the alarm signal to the health rehabilitation cloud, and the health rehabilitation cloud will alarm the emergency center. And contact the patient's relatives, or the competent medical staff.

Preferably, the exercise guidance control system further includes a medical care evaluation and guidance module, the medical care evaluation and guidance module can be remotely connected with medical staff, and the medical staff can remotely read the physical data of the exerciser, so as to amend the exercise plan. Exercise plan, so as to be more suitable for the exerciser's own situation to exercise. In this way, the exercise guidance of the present application mainly relies on the exercise system to automatically generate an exercise plan, which reduces the participation of medical staff, thereby reducing the demand for medical staff.

Preferably, the wearable device includes an allergen sensing module, the allergen module is used to detect pollen and other floating object allergens, when the allergen sensing module detects that the allergen exceeds the exerciser's regulations When the range value is within the range, the wearable device sends out an alarm signal to remind the exerciser to leave the exercise place in time or take corresponding protective measures.

Preferably, the exercise equipment module includes a sensing module, the sensing module includes a video and audio sensing module, the video module can acquire exercise video information of the exerciser, and the audio module acquires exercise audio information of the exerciser , so that the audio and video information of the exerciser can be signal-connected to the central control module, so that the medical staff can remotely guide the exercise through the medical care evaluation and guidance module.

Preferably, when the exercise equipment module or the wearable device senses that an abnormal situation occurs in the personnel, the abnormal situation is sent to the rehabilitation monitoring cloud, and the rehabilitation monitoring cloud sends the alarm information to the medical evaluation and guidance module, Therefore, the medical staff can learn about the condition in time, propose an emergency rescue method, and at the same time, through the emergency rescue unit 3, they can call 120 or other emergency terminals for help.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion such that a process, method, article or device comprising a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, and substitutions can be made in these embodiments without departing from the principle and spirit of the invention and modifications, the scope of the present invention is defined by the appended claims and their equivalents.

Claims (10)

1. An exercise guidance control system based on real-time and historical physiological data of a patient comprises a rehabilitation health cloud 1, an exercise equipment module 2, an emergency recourse unit 3, a medical care evaluation and guidance module 4, a wearable device 6 and a motion exercise database 7;

the rehabilitation health cloud 1 is in communication connection with the exercise equipment module 2, the emergency recourse unit 3, the medical care evaluation and guidance module 4, the wearable equipment 6 and the exercise database 7;

the health cloud comprises a meteorological condition acquisition module, a calculation and planning module and an exercise evaluation control module; wherein the weather condition obtaining module obtains real-time weather conditions for providing to the exerciser and the calculation and planning module;

the exercise database 7 also stores sex, height, weight and exercise intensity information of people of different ages, and a comparison table of exercise duration and heart rate, pulse and respiration information of the exerciser; a historical exercise condition table of the exerciser, the exercise condition of the exerciser in a recent period of time;

the calculation and planning module automatically reads weather conditions, exercise conditions of an individual exerciser in the latest period of time, historical exercise conditions, physical fitness and the improvement of the individual exercise mode of the exerciser, produces a proper exercise plan, provides the exercise plan to the exercise evaluation control module, and sends the exercise plan to the wearable device and the corresponding exercise equipment module through signal connection by the exercise evaluation control module;

the exercise evaluation control module is used for judging according to the exercise physical condition and the physiological parameters of the exerciser and comparing with the exercise plan book, and sending an alarm signal when the exercise intensity exceeds the exercise intensity of the exercise plan book or an inappropriate exercise mode, wherein the exercise physical condition and the physiological parameters of the exerciser are obtained through the wearable device 6; the physiological parameters comprise heart rate, pulse and respiration information of the exerciser;

the calculation and planning module reads the physical information of the exerciser, uses each record of the record list of the comparison table of the exercise database 7, adopts a training method of a neural network, inputs the physical information of the exerciser, obtains a preliminary planning table of the exercise intensity, the exercise duration information and the expected heart rate, pulse and breath information of the exerciser, performs weighted evaluation by using the exercise condition of the exerciser in the latest period of time, revises the preliminary planning table, and obtains a final exercise planning book;

the wearable device 6 is connected to the health recovery cloud and reads the exercise plan book, so that the wearable device 6 guides the exerciser to exercise according to the exercise plan book; and when the physiological parameters of the exerciser and the physiological parameters of the exercise plan book are not consistent, the wearable device sends out an alarm signal.

2. The system of claim 1, wherein the exercise guidance control system is based on real-time and historical physiological data of the patient: the wearable device is provided with a patient physiological sensing module and an alarm cancel button, and is used for sensing physiological data of a patient, if the physiological data of the patient exceeds a normal range, an alarm signal is sent out to remind an exerciser to stop exercising or reduce the exercising intensity, and the patient can cancel the alarm by pressing the cancel button; if the normal range is exceeded for a certain time, and the patient does not press the cancel button, the wearable device sends an alarm signal to the health recovery cloud end, and the health recovery cloud end gives an alarm to the emergency center and contacts with the relatives of the patient or the medical staff in charge.

3. The system of claim 1, wherein the exercise guidance control system is based on real-time and historical physiological data of the patient: exercise guide control system still includes medical evaluation and instruction module, medical evaluation and instruction module can remote connection medical personnel, and medical personnel can read exerciser's physiological data in long-range to can revise the exercise plan of taking exercise planning book, so that be more fit for exerciser's self condition to take exercise.

4. The system of claim 1, wherein the exercise guidance control system is based on real-time and historical physiological data of the patient: the meteorological conditions at least comprise weather conditions, air temperature and values of PM2.5 in the air; the exercise evaluation control module may determine whether the exerciser is suitable to select to go out to exercise or to exercise indoors, based on the physical condition and the physiological condition of the exerciser.

5. The system of claim 1, wherein the exercise guidance control system is based on real-time and historical physiological data of the patient: the wearable device comprises an allergen sensing module, wherein the allergen sensing module is used for detecting pollen and other drift allergens, and when the allergen sensing module detects that the allergens exceed the range value specified by the exerciser, the wearable device sends out an alarm signal to remind the exerciser to leave the exercise place or to take corresponding protective measures.

6. The system of claim 1, wherein the exercise guidance control system is based on real-time and historical physiological data of the patient: the exercise equipment module comprises a sensing module, the sensing module comprises a video sensing module and an audio sensing module, the video module can acquire exercise video information of an exerciser, the audio module acquires the exercise audio information of the exerciser, so that the audio and the video information of the exerciser can be connected with a central control module through signals, and therefore medical staff can exercise and remotely guide the exercise through a medical evaluation and guide module.

7. The system of claim 1, wherein the exercise guidance control system is based on real-time and historical physiological data of the patient: exercise equipment module or when wearable equipment sensing takes place abnormal conditions to personnel, send the abnormal conditions for recovered control high in the clouds, recovered control high in the clouds sends alarm information for doctorsing and nurses the evaluation and guide the module to medical personnel can in time know the state of an illness, propose urgent rescue way, simultaneously through urgent distress unit 3 reports to the police to 120 or other first-aid terminals and seeks help.

8. The system of claim 1, wherein the exercise guidance control system is based on real-time and historical physiological data of the patient: the wearable device is sensed by the exercise device module in an RFID mode, when an exerciser approaches the exercise device, the exercise device and the wearable device are connected in an RFID communication mode, an exercise plan is read, and exercise plan guidance is provided for the exerciser.

9. The exercise guidance control method based on the real-time and historical physiological data of the patient according to the claim 1 to 8, which is characterized in that: the health cloud comprises a meteorological condition acquisition module, a calculation and planning module and an exercise evaluation control module; wherein the weather condition obtaining module obtains real-time weather conditions for providing to the exerciser and the calculation and planning module;

the exercise database 7 also stores sex, height, weight and exercise intensity information of people of different ages, and a comparison table of exercise duration and heart rate, pulse and respiration information of the exerciser; a historical exercise condition table of the exerciser, the exercise condition of the exerciser in a recent period of time;

the basic physiological and pathological information and the rehabilitation exercise expected target of a patient are input, the calculation and planning module reads the physical information of an exerciser, a training method of a neural network is adopted by utilizing each record of a record list of a comparison table of the exercise database 7, the physical information of the exerciser is input, a preliminary planning table of the exercise intensity, the exercise duration information and the expected heart rate, pulse and respiratory information of the exerciser is obtained, the exercise condition of the exerciser in the latest period of time is utilized for weighted evaluation, and the preliminary planning table is revised to obtain a final exercise planning book; the exercise evaluation control module is provided for the exercise evaluation control module and is sent to the wearable device and the corresponding exercise equipment module through signal connection;

the wearable device 6 is connected to a health recovery cloud and reads the exercise plan, so that the wearable device 6 guides the exerciser to exercise according to the exercise plan; when monitoring that the physiological parameters of the exerciser are inconsistent with the physiological parameters of the exercise plan, the wearable device sends out an alarm signal;

meanwhile, the exercise evaluation control module judges according to the exercise physical condition and the physiological parameters of the exerciser and by contrasting the exercise plan, and sends an alarm signal when the exercise intensity exceeds the exercise intensity of the exercise plan or an inappropriate exercise mode, wherein the exercise physical condition and the physiological parameters of the exerciser are obtained through the wearable device 6; the physiological parameters comprise heart rate, pulse and respiration information of the exerciser;

in addition, the wearable device is sensed by the exercise device module in an RFID mode, when an exerciser approaches the exercise device, the exercise device and the wearable device are connected in an RFID communication mode, an exercise plan is read, and exercise plan guidance is provided for the exerciser.

10. The system of claim 1, wherein the exercise guidance control system is based on real-time and historical physiological data of the patient: the exercise guidance control system also comprises a medical evaluation and guidance module, the medical evaluation and guidance module can be remotely connected with medical personnel, and the medical personnel can remotely read the physiological data of the exerciser, so that the exercise plan of the exercise plan book can be corrected, and the exercise plan is more suitable for the self condition of the exerciser to exercise;

the exercise guidance of this application relies on exercise system automatic generation to take exercise planning book like this, has reduced medical personnel's participation to reduce medical personnel's demand.

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