CN112071393A - Exercise guiding control system based on real-time and historical physiological data of patient - Google Patents
Exercise guiding control system based on real-time and historical physiological data of patient Download PDFInfo
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Abstract
The invention discloses an exercise guidance control system based on real-time and historical physiological data of a patient, which 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 an exercise database 7. The invention adopts a method of self-adaptive learning by using the data of the rehabilitation monitoring cloud, thereby generating an exercise planning book which is more in line with the exercise of an exerciser for providing the exerciser guidance, and further providing the safety and the comfort of exercise. The exercise guidance of this application mainly relies on exercise system automatic generation to take exercise the planning book, has reduced medical personnel's participation to reduce medical personnel's demand.
Description
Technical Field
The invention relates to the technical field of healthy exercise management, in particular to an exercise guide control system based on real-time and historical physiological data of a patient.
Background
With the development of economic technology, people have already been good and have taken a healthy stage; in particular, at the living standard, people have reached a level of living with a rich and healthy state, and people are mainly pursuing health. And exercising the body is the most direct, effective and simple way to ensure the health of the body.
For exercising the body, including the indoor exercising mode and the outdoor exercising mode, as the outdoor exercising mode, the outdoor exercising mode has the following characteristics that the indoor air is not circulated, and the fresh air is needed for the exercise. Outdoor sports air is good and is usually suitable for sports; when the weather is good, people can get out to build bodies well, and people can feel happy outdoors; generally speaking, when the body is good, the user can go outdoors to exercise as much as possible, and the air is fresh, and if the body is not good, the user can do simple exercise indoors to promote blood circulation; leaving the city full of high-rise buildings, walking into the natural arms with quiet moods, outdoor exercise is a special physical exercise, and the physical strength and energy consumed by the outdoor exercise are both large, so that the outdoor exercise is a better body building method. But also can relieve pressure and worry, and the vast and vast qi of Baina Dachuan can overcome the mental problems of narrow body and mind and the like, so that your mind and chest are wide. Therefore, the outdoor exercise and the outdoor exercise have the advantages and the defects, and therefore, a reasonable exercise mode needs to be selected according to the needs and the self condition during the exercise.
In fact, an unreasonable exercise regimen, not only does not actually provide a benefit to the physical fitness of the person exercising, but may, on the contrary, have deleterious consequences. For example, in bad weather conditions, such as haze weather, air particle floaters (such as PM 2.5) or the weather of a sand storm which is relatively common in north, the exercise under these conditions is not beneficial to the physical exercise, but can be harmful to the lung due to the inhalation of the air floaters, thus affecting the physical health; for weather conditions, currently, the user usually judges whether to exercise outdoors or not based on weather forecast or the weather conditions of the mobile phone;
for example, patent CN103445766B discloses a state monitoring method and device based on comparison between historical physiological data and physical data, wherein 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 method comprises the following steps: 1) continuously acquiring biological characteristics of a user in a normal state and physical characteristics related to the biological characteristics, and storing the biological characteristics and the physical characteristics to form historical data; 2) detecting biological characteristics and physical characteristics of the current user, comparing the biological characteristics and the physical characteristics with the historical data obtained in the step 1), and judging whether the physical characteristics similar to the currently detected physical characteristics in the historical data, the biological characteristics in the historical data associated with the physical characteristics in a normal state are similar to the currently detected biological characteristics or not; 3) if the data are similar, storing the currently detected biological characteristics and physical characteristics as components of historical data; if not, an alarm signal is sent out. The intelligent device can detect physiological and physical characteristics simultaneously and compare the physiological and physical characteristics with historical data of a wearer and other people, can deduce the activity content of people according to the physical characteristics, and can determine whether the wearer is in danger or not by combining physiological state parameters. Is suitable for the use of the personnel such as the solitary, the individual sporter, the sentinel and the like. The method overcomes the defect that the human body biological characteristic monitoring device can only monitor the biological characteristics simply in the prior art, and can judge the current motion state of the user and whether the biological characteristics in the motion state are in a normal state or not by adopting a method of associating and combining the physical characteristics and the biological characteristics. And the danger or the motion state of the user can be presumed, so that the accuracy and the comprehensiveness of monitoring are greatly improved.
Patent CN111462859A discloses a label management-based exercise rehabilitation course system, which includes a server, a management terminal, a medical care terminal and a patient terminal, wherein rehabilitation action information is stored in the server, the management terminal is used for managing rehabilitation actions, generating action labels bound with the rehabilitation actions from multiple dimensions, and editing a course template preset by the system, medical care personnel edit a module or newly create rehabilitation courses through the medical care terminal, and the server sends the rehabilitation action courses to the patient terminal; the rehabilitation action information is managed according to the action label, the medical care personnel can conveniently and quickly and accurately check the rehabilitation action according to the actual condition of the patient and generate the final rehabilitation action course, the rehabilitation action information is highly matched with the actual condition of the patient, the curative effect is improved, and the adverse effect caused by improper rehabilitation action can be avoided.
Patent 107610780a discloses a system and a method for analyzing and evaluating physiological information data, which discloses a system for analyzing and evaluating physiological information data, wherein a historical data analysis module is further disposed in the single health index calculation module, a normalization index adjustment module is disposed in the historical data analysis module, the historical data analysis module compares and analyzes new physiological information data, corresponding historical physiological information data and a reference target value to obtain a historical change trend result of the physiological information data, and the normalization index adjustment module adjusts the normalization index of the new physiological information data according to the historical change trend result. The effects of more reasonable evaluation, stronger pertinence, more intuition, more comprehensive reflection of the health state of the human body and more scientific reflection of the change trend of the physiological information are achieved.
It can thus be seen that: patent CN111462859A utilizes medical personnel to participate in the whole right completely, constantly judges patient's health, does the label to production rehabilitation course, but this needs medical personnel's a large amount of participation, has increased the cost of healthy exercise, needs medical personnel's subjective experience moreover, and this is high to medical personnel's whole quality requirement, thereby causes medical personnel's shortage easily, also makes medical personnel more painstaking.
And CN103445766B discloses a state monitoring method based on historical physiological data and physical data comparison, which is only used to determine the physical state of the user. Therefore, how to provide a proper body exercising way, the advanced computer technology is utilized to evaluate the physical state of the patient, and the proper body exercising way is provided, so that the workload of the medical staff is greatly simplified, and the quality requirement of the medical staff is reduced.
In addition, in the process of physical exercise, the heartbeat, the respiration and the pulse are accelerated, the blood flow is accelerated, some people with dark diseases or people with large age or people with poor physical conditions can cause physical deterioration if the exercise time and the exercise intensity are unreasonable, the conditions of improving the physical conditions can not be taken out, and the light people can cause pains or even lead to the conditions of accelerating death and the like. In addition, the physical differences of each person and the recent exercise conditions also affect the exercise intensity and the exercise market.
Finally, in order to obtain the physical and physiological parameters of the patient, there are many wearable devices, even mobile phones, in the market, where the wearable devices are especially popular smart watches nowadays, such as watson watches, millet watches, etc., but these devices mainly measure the exercise time, heart rate, pulse, etc. of the exerciser, and cannot actively guide the exerciser to select a suitable exercise mode.
Therefore, the current physical exercise is mainly based on the guidance of medical staff or the self experience of exercise to select an exercise mode, but the exercise mode is easy to select improper exercise places and exercise intensity, so that a better exercise effect cannot be achieved; therefore, it is desirable to provide a more intelligent exercise guidance device and control system that helps the user to select a suitable exercise location according to the patient's own evaluation system, and to set a reliable exercise intensity guidance device, and to intelligently customize a more reliable exercise mode according to the user, and there is no effective technical means to solve the above-mentioned technical problems.
Disclosure of Invention
The present invention is directed to an exercise guidance control system based on real-time and historical physiological data of a patient, so as to solve the problems mentioned above in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: 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.
Preferably, the wearable device is provided with a patient physiological sensing module and an alarm cancel button, and is used for sensing physiological data of the patient, if the physiological data of the patient exceeds a normal range, an alarm signal is sent out to remind the 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.
Preferably, exercise guidance control system still includes medical care evaluation and instruction module, medical care evaluation and instruction module can the remote connection medical personnel, and medical personnel can read exerciser's physiological data in the long-range to can revise the exercise plan of exercise planning book, go to exercise in order to be more fit for exerciser's self condition. 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.
Preferably, the meteorological conditions include at least weather conditions, air temperature and a value 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.
Preferably, the wearable device comprises an allergen sensing module, 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 values 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 in time.
Preferably, the exercise equipment module includes a sensing module, the sensing module includes video and audio sensing modules, the video module can acquire the exerciser's exercise video information, the audio module acquires the exerciser's exercise audio information to can give the exerciser's audio and video information central control module signal connection, thereby medical personnel can take exercise remote guidance through medical care evaluation and guide module in a remote location.
Preferably, the device also comprises a patient information input end which is used for inputting basic physiological and pathological information of the patient and a rehabilitation exercise desired target, so that exercise information can be acquired more conveniently and exercise requirements are met.
Preferably, exercise equipment module or wearable equipment sensing when the unusual circumstances takes place for personnel, sends the unusual circumstances for recovered control high in the clouds, recovered control high in the clouds is sent alarm information and is given medical evaluation and guide module to medical personnel can in time know the state of an illness, proposes urgent rescue way, simultaneously through urgent distress call unit 3 reports to the police to 120 or other first-aid terminals and seeks help.
Preferably, the exercise device module senses the wearable device in an RFID manner, and when an exerciser approaches the exercise device, the exercise device and the wearable device establish connection in an RFID communication manner, read an exercise plan, and provide exercise plan guidance for the exerciser.
It should be noted that the exercise history of the last period of time refers to the exercise history data of the last three months, and the exercise history refers to all exercise data earlier than the last exercise history.
In another aspect, the present application further provides a method for exercise guidance control based on real-time and historical physiological data of a patient, comprising an exercise guidance control system based on real-time and historical physiological data of the patient,
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.
Preferably, the wearable device is provided with a patient physiological sensing module and an alarm cancel button, and is used for sensing physiological data of the patient, if the physiological data of the patient exceeds a normal range, an alarm signal is sent out to remind the 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.
Preferably, exercise guidance control system still includes medical care evaluation and instruction module, medical care evaluation and instruction module can the remote connection medical personnel, and medical personnel can read exerciser's physiological data in the long-range to can revise the exercise plan of exercise planning book, go to exercise in order to be more fit for exerciser's self condition. 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.
Preferably, the wearable device comprises an allergen sensing module, 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 values 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 in time.
Preferably, the exercise equipment module includes a sensing module, the sensing module includes video and audio sensing modules, the video module can acquire the exerciser's exercise video information, the audio module acquires the exerciser's exercise audio information to can give the exerciser's audio and video information central control module signal connection, thereby medical personnel can take exercise remote guidance through medical care evaluation and guide module in a remote location.
Preferably, exercise equipment module or wearable equipment sensing when the unusual circumstances takes place for personnel, sends the unusual circumstances for recovered control high in the clouds, recovered control high in the clouds is sent alarm information and is given medical evaluation and guide module to medical personnel can in time know the state of an illness, proposes urgent rescue way, simultaneously through urgent distress call unit 3 reports to the police to 120 or other first-aid terminals and seeks help.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention adopts a method of self-adaptive learning by using the data of the rehabilitation monitoring cloud, thereby generating an exercise planning book which is more in line with the exercise of an exerciser for providing the exerciser guidance, and further providing the safety and the comfort of exercise. The exercise guidance of this application mainly relies on exercise system automatic generation to take exercise the planning book, has reduced medical personnel's participation to reduce medical personnel's demand.
2. In the exercise control system, the physical quality, the exercise condition and the current weather condition of the exerciser are fully considered, and the proper exercise mode is selected, so that the exerciser exercises more comfortably, meanwhile, the improper exercise mode is avoided, and the more intelligent exercise mode is provided for the exerciser.
3. According to the exercise control system, when the body of an exerciser does not adapt to the current exercise intensity or equipment any more, alarm information is sent out to remind the exerciser to stop exercising in time or reduce the exercise degree, so that the exerciser is protected better.
4. The exercise control system of this application still is connected with medical care management end to medical personnel can utilize more professional technique and judgement, select suitable exercise mode, thereby utilize the exerciser to resume the health more.
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 figure: 1. a health cloud is recovered; 2. an exercise equipment module; 3. an emergency call-for-help unit; 4. a healthcare assessment and guidance module; 6. a wearable device; 7. a sports workout database.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: 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.
Preferably, the wearable device is provided with a patient physiological sensing module and an alarm cancel button, and is used for sensing physiological data of the patient, if the physiological data of the patient exceeds a normal range, an alarm signal is sent out to remind the 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.
Preferably, exercise guidance control system still includes medical care evaluation and instruction module, medical care evaluation and instruction module can the remote connection medical personnel, and medical personnel can read exerciser's physiological data in the long-range to can revise the exercise plan of exercise planning book, go to exercise in order to be more fit for exerciser's self condition. 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.
Preferably, the meteorological conditions include at least weather conditions, air temperature and a value 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.
Preferably, the wearable device comprises an allergen sensing module, 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 values 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 in time.
Preferably, the exercise equipment module includes a sensing module, the sensing module includes video and audio sensing modules, the video module can acquire the exerciser's exercise video information, the audio module acquires the exerciser's exercise audio information to can give the exerciser's audio and video information central control module signal connection, thereby medical personnel can take exercise remote guidance through medical care evaluation and guide module in a remote location.
Preferably, the device also comprises a patient information input end which is used for inputting basic physiological and pathological information of the patient and a rehabilitation exercise desired target, so that exercise information can be acquired more conveniently and exercise requirements are met.
Preferably, exercise equipment module or wearable equipment sensing when the unusual circumstances takes place for personnel, sends the unusual circumstances for recovered control high in the clouds, recovered control high in the clouds is sent alarm information and is given medical evaluation and guide module to medical personnel can in time know the state of an illness, proposes urgent rescue way, simultaneously through urgent distress call unit 3 reports to the police to 120 or other first-aid terminals and seeks help.
Preferably, the exercise device module senses the wearable device in an RFID manner, and when an exerciser approaches the exercise device, the exercise device and the wearable device establish connection in an RFID communication manner, read an exercise plan, and provide exercise plan guidance for the exerciser.
It should be noted that the exercise history of the last period of time refers to the exercise history data of the last three months, and the exercise history refers to all exercise data earlier than the last exercise history.
The second embodiment is as follows:
an exercise guidance control method based on real-time and historical physiological data of a patient comprises an exercise guidance control system based on real-time and historical physiological data of the patient,
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.
Preferably, the wearable device is provided with a patient physiological sensing module and an alarm cancel button, and is used for sensing physiological data of the patient, if the physiological data of the patient exceeds a normal range, an alarm signal is sent out to remind the 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.
Preferably, exercise guidance control system still includes medical care evaluation and instruction module, medical care evaluation and instruction module can the remote connection medical personnel, and medical personnel can read exerciser's physiological data in the long-range to can revise the exercise plan of exercise planning book, go to exercise in order to be more fit for exerciser's self condition. 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.
Preferably, the wearable device comprises an allergen sensing module, 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 values 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 in time.
Preferably, the exercise equipment module includes a sensing module, the sensing module includes video and audio sensing modules, the video module can acquire the exerciser's exercise video information, the audio module acquires the exerciser's exercise audio information to can give the exerciser's audio and video information central control module signal connection, thereby medical personnel can take exercise remote guidance through medical care evaluation and guide module in a remote location.
Preferably, exercise equipment module or wearable equipment sensing when the unusual circumstances takes place for personnel, sends the unusual circumstances for recovered control high in the clouds, recovered control high in the clouds is sent alarm information and is given medical evaluation and guide module to medical personnel can in time know the state of an illness, proposes urgent rescue way, simultaneously through urgent distress call unit 3 reports to the police to 120 or other first-aid terminals and seeks help.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in 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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