Exercise risk analysis and early warning system

Abstract

The invention relates to the technical field of exercise risk analysis and early warning, and discloses an exercise risk analysis and early warning system. The exercise risk analysis and early warning system comprises a patient data collection module, a patient exercise risk analysis module, a patient exercise risk early warning module and a data visual storage and display module. According to the system, whether the patient can do exercise or not is preliminarily judged by combining medical records of the patient, the heart rate, the respiratory rate, the body temperature and the stability analysis result of the patient in the exercise process are considered in the process of calculating the # imgabs0 #, the smaller the value of the # imgabs1 # is, the more indicating that the heart rate fluctuates during rehabilitation exercise, and the lower the value of the # imgabs1 # is, the lower the value of the # imgabs1 # is, the more indicating that the patient can do rehabilitation exercise. The more stable the change condition of the step length and the respiratory rate is, the lower the risk degree of the rehabilitation exercise is reflected, so that the patient can visually check the own condition, and the patient can visually see the own rehabilitation condition by checking the # imgabs2 # calculated after the rehabilitation exercise is performed each time.

Description

Technical Field

[0001] The present invention relates to the technical field of sports risk analysis and early warning, and in particular to a sports risk analysis and early warning system. Background Art

[0002] As people's health issues gradually attract people's attention, exercise and fitness have become an indispensable element in modern human life. More and more people are participating in various sports. With the advancement of technology, more and more patients are beginning to use wearable devices (such as smart watches, fitness trackers, etc.) to monitor their daily activities and health data. Most hospitals and clinics now use electronic medical record systems (EMR / EHR), which store detailed medical records of patients, including diagnosis, prescriptions, vital signs, and laboratory test results; However, the existing technology does not take into account the risk of the patient's medical history during exercise and analyze the patient's heart rate, respiratory rate, body temperature and stability during exercise during rehabilitation training. Summary of the invention

[0003] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a sports risk analysis and early warning system, which has the advantages of providing early warnings to patients based on their medical conditions, and solves the above-mentioned technical problems.

[0004] (II) Technical solution To achieve the above-mentioned object, the present invention provides the following technical solutions: a motion risk analysis and early warning system, comprising a patient data collection module, a patient motion risk analysis module, a patient motion risk early warning module and a data visualization storage and display module; The patient data collection module includes a patient disease data collection and evaluation unit, a patient resting state body data collection unit and a patient motion state body data collection unit. The patient disease data collection and evaluation unit is used to collect patient disease data in the medical system, and evaluate the patient's motor ability based on the patient's historical disease. If the motor ability obtained by the evaluation does not reach a threshold, a warning signal is directly sent to the patient motion risk warning module for warning. If the motor ability obtained by the evaluation reaches a threshold, the patient resting state body data collection unit is started to collect the patient's body data in a resting state, and when the patient starts to exercise, the patient motion state body data collection unit is started to collect the patient's motion state data, and sent to the patient motion risk analysis module; The patient motion risk analysis module includes a motion stability analysis unit and a motion risk analysis unit. The motion stability analysis unit is used to analyze the stability data of the patient during recovery training and output the stability analysis result. The motion risk analysis unit calculates the patient's motion risk based on the patient's body data in a resting state, the patient's motion state data and the stability analysis result, and obtains the patient's motion risk data. The patient motion risk warning module warns the patient's motion based on the patient motion risk data or the warning signal sent by the patient disease data evaluation unit, and sends the warning data to the data visualization storage and display module; The data visualization storage and display module is used to read all data in the patient data collection module, the patient motion risk analysis module, and the patient motion risk warning module, and encrypt and store all data of the same patient.

[0005] As a preferred technical solution of the present invention, the patient disease data acquisition and evaluation unit acquires the patient disease data in the medical system, and the specific steps of evaluating the patient's motor ability according to the patient's historical disease are as follows: A1. Collect the historical disease data of the current patient to form a patient disease data set. The specific expression of the patient disease data set is as follows: in, They represent the first disease that the patient currently suffers from that affects his / her motor ability, …, the second disease that the patient currently suffers from that affects his / her motor ability, diseases, …, the patient’s current condition that affects his / her motor ability diseases, represents a patient disease dataset; A2. Calculate the patient's exercise capacity based on the disease recorded in the patient's disease data set; A3. Determine whether the patient's exercise capacity has reached the threshold. If so, send a warning signal directly to the patient's exercise risk warning module for warning. If the assessed exercise capacity has reached the threshold, start the patient's resting state body data collection unit and the patient's exercise state body data collection unit.

[0006] As a preferred technical solution of the present invention, the expression for calculating the patient's exercise capacity in step A2 is as follows: in, Indicates the patient's motor ability. Indicates that the patient is currently suffering from a condition that affects his or her motor ability. The results of the analysis of the diseases Indicates all current conditions that affect the patient's ability to exercise The results of the disease analysis.

[0007] As a preferred technical solution of the present invention, the patient currently suffers from the first The specific expression of the analysis results of the disease is as follows: in, Indicates that the patient is currently suffering from a condition that affects his / her motor ability. The results of the analysis of the diseases Indicates Diseases that affect people exercising Indicates that the patient The total number of people with the disease , Respectively represent two different proportional coefficient values.

[0008] As a preferred technical solution of the present invention, the specific expression of the body data of the patient in the resting state collected by the patient resting state body data collection unit is as follows: in, represents the patient's resting body data set, Indicates heart rate, Respiratory rate, Indicates body temperature.

[0009] As a preferred technical solution of the present invention, the specific expression of the patient's motion state data collected by the patient's motion state body data collection unit is as follows: in, represents the patient motion status dataset, Indicates the maximum value, Indicates that during exercise Heart rate at all times, Indicates that during exercise The breathing rate at the moment, Indicates that during exercise The temperature of the moment, Indicates that during exercise The tilt angle at the moment, Indicates the movement step length.

[0010] As a preferred technical solution of the present invention, the motion stability analysis unit analyzes the stability data during the recovery training of the patient and outputs the specific expression of the stability analysis result as follows: in, Indicates the result of stability analysis. The stability data refers to the maximum tilt angle during movement. and step length , Indicates the maximum tilt angle during movement The sine value of Indicates the standard step size.

[0011] As a preferred technical solution of the present invention, the motion risk analysis unit calculates the patient's motion risk based on the patient's body data in a resting state, the patient's motion state data and the stability analysis result, and obtains the specific expression of the patient's motion risk data as follows: in, represents the amplification factor, represents the patient's motion risk data, represents the stability analysis results, represents the physical risk weight of sports.

[0012] As a preferred technical solution of the present invention, the sports body risk weight The specific expression is as follows: in, Indicates the maximum value, Indicates that during exercise Heart rate at all times, Indicates that during exercise The breathing rate at the moment, Indicates that during exercise Temperature at all times.

[0013] As a preferred technical solution of the present invention, the expression for warning by the patient movement risk warning module is as follows: in, Indicates that the patient movement risk warning module sends warning data to the data visualization storage and display module. It means that the patient movement risk warning module does not send warning data to the data visualization storage and display module. represents the patient's motion risk data, Indicates the patient's motor ability. represents the patient's exercise capacity threshold, Indicates the patient's motion risk threshold.

[0014] Compared with the prior art, the present invention provides a sports risk analysis and early warning system, which has the following beneficial effects: The present invention makes a preliminary judgment on whether the patient can exercise by combining the patient's medical history, and The process takes into account the patient's heart rate, respiratory rate and body temperature during exercise as well as the results of stability analysis. The smaller the value, the more stable the changes in heart rate fluctuation, step length and respiratory rate during rehabilitation exercise, which reflects the lower the risk of rehabilitation exercise, allowing patients to intuitively view their own situation, and patients can view the calculated value after each rehabilitation exercise. , you can intuitively see your own recovery status. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] See also Figure 1 ,The motion risk analysis and early warning system includes a patient data collection module, a patient motion risk analysis module, a patient motion risk early warning module and a data visualization storage and display module; The patient data collection module includes a patient disease data collection and evaluation unit, a patient resting state body data collection unit and a patient motion state body data collection unit. The patient disease data collection and evaluation unit is used to collect patient disease data in the medical system and evaluate the patient's motor ability based on the patient's historical disease. If the motor ability obtained by the evaluation does not reach the threshold, a warning signal is directly sent to the patient motion risk warning module for warning. If the motor ability obtained by the evaluation reaches the threshold, the patient resting state body data collection unit is started to collect the patient's body data in the resting state, and when the patient starts to exercise, the patient motion state body data collection unit is started to collect the patient's motion state data and send it to the patient motion risk analysis module. The patient disease data collection and evaluation unit collects the patient's disease data in the medical system and evaluates the patient's motor ability based on the patient's historical disease. The specific steps are as follows: Step A1: Collect the historical disease data of the current patient to form a patient disease data set. The specific expression of the patient disease data set is as follows: in, They represent the first disease that the patient currently suffers from that affects his / her motor ability, …, the second disease that the patient currently suffers from that affects his / her motor ability, diseases, …, the patient’s current condition that affects his / her motor ability diseases, represents a patient disease dataset; Step A2: Calculate the patient's motor ability based on the disease recorded in the patient's disease data set. The expression for calculating the patient's motor ability is as follows: in, Indicates the patient's motor ability. Indicates that the patient is currently suffering from a condition that affects his or her motor ability. The results of the analysis of the diseases Indicates all current conditions that affect the patient's ability to exercise The analysis results of the disease showed that the patient currently suffers from the first disease that affects his / her motor ability. Analysis results of diseases The specific expression is as follows: in, Indicates that the patient is currently suffering from a condition that affects his / her motor ability. The results of the analysis of the diseases Indicates Diseases that affect people exercising Indicates that the patient The total number of people with the disease , Respectively represent two different proportional coefficient values; Step A3: Determine whether the patient's exercise capacity reaches the threshold , if the threshold is reached , then a warning signal is directly sent to the patient's sports risk warning module for warning. If the assessed sports ability reaches the threshold , then start the patient's resting state body data collection unit and the patient's motion state body data collection unit; The specific expression of the patient's resting state body data collection unit collecting the patient's resting state body data is as follows: in, represents the patient's resting body data set, Indicates heart rate, Respiratory rate, The specific expression for body temperature and patient movement status data collected by the body data collection unit is as follows: in, represents the patient motion status dataset, Indicates the maximum value, Indicates that during exercise Heart rate at all times, Indicates that during exercise The breathing rate at the moment, Indicates that during exercise The temperature of the moment, Indicates that during exercise The tilt angle at the moment, Indicates the movement step length The patient motion risk analysis module includes a motion stability analysis unit and a motion risk analysis unit. The motion stability analysis unit is used to analyze the stability data of the patient during recovery training and output the stability analysis result. The motion risk analysis unit calculates the patient's motion risk based on the patient's body data in a resting state, the patient's motion state data and the stability analysis result, and obtains the patient's motion risk data. The motion stability analysis unit analyzes the stability data during the patient's recovery training and outputs the stability analysis result. The specific expression is as follows: in, Indicates the result of stability analysis. The stability data refers to the maximum tilt angle during movement. and step length , Indicates the maximum tilt angle during movement The sine value of represents the standard step length. The motion risk analysis unit calculates the patient's motion risk based on the patient's resting body data, the patient's motion state data, and the stability analysis result, and obtains the specific expression of the patient's motion risk data as follows: in, represents the amplification factor, represents the patient's motion risk data, represents the stability analysis results, represents the physical risk weight of sports, physical risk weight of sports The specific expression is as follows: From this we can get: in, Indicates the maximum value, Indicates that during exercise Heart rate at all times, Indicates that during exercise The breathing rate at the moment, Indicates that during exercise Body temperature at all times; The patient movement risk warning module warns the patient's movement based on the patient's movement risk data or the warning signal sent by the patient's disease data evaluation unit, and sends the warning data to the data visualization storage and display module. The expression of the patient movement risk warning module for warning is as follows: in, Indicates that the patient movement risk warning module sends warning data to the data visualization storage and display module. It means that the patient movement risk warning module does not send warning data to the data visualization storage and display module. represents the patient's motion risk data, Indicates the patient's motor ability. represents the patient's exercise capacity threshold, represents the patient's motion risk threshold; The data visualization storage and display module is used to read all data in the patient data collection module, the patient motion risk analysis module, and the patient motion risk warning module, and encrypt and store all data of the same patient.

[0018] Embodiment 1: Patients at rest ; The following is a data table of the patient during exercise in this embodiment (the data collection has been agreed by the patient): Table 1 Data of patients at rest and during exercise at this time , the patient movement risk warning module does not send warning data to the data visualization storage display module, so no warning is issued. It can be judged that the patient's movement is relatively safe in general. The process takes into account the patient's heart rate, respiratory rate and body temperature during exercise as well as the results of stability analysis. The smaller the value, the more stable the changes in heart rate fluctuation, step length and respiratory rate during rehabilitation exercise, thus reflecting the higher the safety of rehabilitation exercise. The larger the value is, the more dangerous the movement process is and the higher the risk is, thus triggering an early warning; Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Sports risk analysis and early warning system, characterized by: It includes patient data collection module, patient motion risk analysis module, patient motion risk warning module and data visualization storage and display module; The patient data collection module includes a patient disease data collection and evaluation unit, a patient resting state body data collection unit and a patient motion state body data collection unit. The patient disease data collection and evaluation unit is used to collect patient disease data in the medical system, and evaluate the patient's motor ability based on the patient's historical disease. If the motor ability obtained by the evaluation does not reach a threshold, a warning signal is directly sent to the patient motion risk warning module for warning. If the motor ability obtained by the evaluation reaches a threshold, the patient resting state body data collection unit is started to collect the patient's body data in a resting state, and when the patient starts to exercise, the patient motion state body data collection unit is started to collect the patient's motion state data, and sent to the patient motion risk analysis module; The patient motion risk analysis module includes a motion stability analysis unit and a motion risk analysis unit. The motion stability analysis unit is used to analyze the stability data of the patient during recovery training and output the stability analysis result. The motion risk analysis unit calculates the patient's motion risk based on the patient's body data in a resting state, the patient's motion state data and the stability analysis result, and obtains the patient's motion risk data. The patient motion risk warning module warns the patient's motion based on the patient motion risk data or the warning signal sent by the patient disease data evaluation unit, and sends the warning data to the data visualization storage and display module; The data visualization storage and display module is used to read all data in the patient data collection module, the patient motion risk analysis module, and the patient motion risk warning module, and encrypt and store all data of the same patient.

2. The sports risk analysis and early warning system according to claim 1, characterized in that: The specific steps of the patient disease data collection and evaluation unit collecting the patient disease data in the medical system and evaluating the patient's exercise ability according to the patient's historical disease are as follows: A1. Collect the historical disease data of the current patient to form a patient disease data set. The specific expression of the patient disease data set is as follows: in, They represent the first disease that the patient currently suffers from that affects his / her motor ability, 、The patient currently suffers from a disease that affects his / her exercise ability diseases, 、The patient currently suffers from a disease that affects his / her exercise ability diseases, represents a patient disease dataset; A2. Calculate the patient's exercise capacity based on the disease recorded in the patient's disease data set; A3. Determine whether the patient's exercise capacity has reached the threshold. If so, send a warning signal directly to the patient's exercise risk warning module for warning. If the assessed exercise capacity has reached the threshold, start the patient's resting state body data collection unit and the patient's exercise state body data collection unit.

3. The sports risk analysis and early warning system according to claim 2, characterized in that: The expression for calculating the patient's exercise capacity in step A2 is as follows: in, Indicates the patient's motor ability. Indicates that the patient is currently suffering from a condition that affects his or her motor ability. The results of the analysis of the diseases Indicates all current conditions that affect the patient's ability to exercise The results of the disease analysis.

4. The sports risk analysis and early warning system according to claim 3, characterized in that: The patient currently suffers from a condition that affects motor ability The specific expression of the analysis results of the disease is as follows: in, Indicates that the patient is currently suffering from a condition that affects his / her motor ability. The results of the analysis of the diseases Indicates Diseases affecting the number of people exercising, Indicates that the patient The total number of people with the disease , Respectively represent two different proportional coefficient values.

5. The sports risk analysis and early warning system according to claim 1, characterized in that: The specific expression of the patient's resting state body data collection unit collecting the patient's resting state body data is as follows: in, represents the patient's resting body data set, Indicates heart rate, Respiratory rate, Indicates body temperature.

6. The sports risk analysis and early warning system according to claim 5, characterized in that: The specific expression for collecting patient motion state data by the patient motion state body data collection unit is as follows: in, represents the patient motion status dataset, Indicates the maximum value, Indicates that during exercise Heart rate at all times, Indicates that during exercise The breathing rate at the moment, Indicates that during exercise The temperature of the moment, Indicates that during exercise The tilt angle at the moment, Indicates the movement step length.

7. The sports risk analysis and early warning system according to claim 6, characterized in that: The motion stability analysis unit analyzes the stability data during the recovery training of the patient and outputs the specific expression of the stability analysis result as follows: in, Indicates the result of stability analysis. The stability data refers to the maximum tilt angle during movement. and step length , Indicates the maximum tilt angle during movement The sine value of Indicates the standard step size.

8. The sports risk analysis and early warning system according to claim 7, characterized in that: The motion risk analysis unit calculates the patient's motion risk based on the patient's body data in a resting state, the patient's motion state data, and the stability analysis result, and obtains the specific expression of the patient's motion risk data as follows: in, represents the amplification factor, represents the patient's motion risk data, represents the stability analysis results, represents the physical risk weight of sports.

9. The sports risk analysis and early warning system according to claim 8, characterized in that: Physical risk weights for exercise The specific expression is as follows: in, Indicates the maximum value, Indicates that during exercise Heart rate at all times, Indicates that during exercise The breathing rate at the moment, Indicates that during exercise Temperature at all times.

10. The sports risk analysis and early warning system according to claim 9, characterized in that: The expression for warning by the patient movement risk warning module is as follows: in, Indicates that the patient movement risk warning module sends warning data to the data visualization storage and display module. It means that the patient movement risk warning module does not send warning data to the data visualization storage and display module. represents the patient's motion risk data, Indicates the patient's motor ability. represents the patient's exercise capacity threshold, Indicates the patient's motion risk threshold.

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