Plateau exercise risk assessment device and method and application
By designing a plateau sports risk assessment device that integrates the acquisition module and the real-time calculation module, the problems of subjectivity and uncertainty in traditional methods are solved, and accurate assessment and timely warning of plateau sports risks are achieved to ensure the safety of athletes.
Patent Information
- Application Number
- CN202411377666.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-01-24
AI Technical Summary
Traditional plateau movement risk assessment methods rely on subjective feelings and experience, and have subjectivity and uncertainty, making it difficult to accurately assess movement risks.
Design a plateau motion risk assessment device, including personal information acquisition module, altitude information collection module, sports heart rate collection module, static heart rate collection module, real -time calculation module, early warning module, and storage module. Parameters and environmental data, real -time assessment of exercise intensity and risk warning.
The accurate assessment of the risk of plateau motion has been realized, the subjectivity is reduced, the risk warning is carried out in a timely manner, the risk of accidents is reduced, and the personal safety of the athletes is guaranteed.
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Figure CN119356523A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of plateau sports risk assessment, and in particular to a plateau sports risk assessment method, device and application. Background Art
[0002] Exercise in plateau areas is accompanied by a series of health and safety risks. Since the climate conditions, terrain characteristics, oxygen content and other environmental factors in plateau areas are significantly different from those in low-altitude areas, they will have a certain impact on the human body. In order to effectively evaluate and manage the risks in plateau exercise, it is of great significance to develop an efficient and accurate plateau exercise risk assessment method.
[0003] Traditionally, high altitude exercisers usually rely on subjective feelings and experience to assess exercise risks, but this method is obviously subjective and uncertain, and is easily affected by individual factors and the environment. Therefore, in order to avoid subjectivity and uncertainty, it is necessary to develop an assessment method based on objective indicators to accurately assess the risks of high altitude exercise. Summary of the invention
[0004] The purpose of the present invention is to provide a plateau sports risk assessment device in order to provide better health protection for people exercising on the plateau.
[0005] To achieve the above object, the present invention provides a plateau sports risk assessment device, which comprises:
[0006] The personal information collection module is used to obtain the date of birth information of individual athletes;
[0007] The altitude information collection module is used to obtain the altitude of the current location of the individual athlete;
[0008] The exercise heart rate collection module is used to collect the exercise heart rate of individual athletes during exercise;
[0009] The resting heart rate collection module is used to collect the resting heart rate of the individual athlete at rest;
[0010] A real-time calculation module is used to receive the date of birth information, altitude, exercise heart rate and resting heart rate sent by the above modules to calculate the current human exercise intensity level;
[0011] An early warning module is used to receive the exercise intensity determination result obtained by the real-time calculation module, and issue an early warning or alarm for plateau exercise risks according to the determination result;
[0012] The storage module is used to receive and store the exercise intensity determination result sent by the early warning module.
[0013] Furthermore, the real-time calculation module includes:
[0014] A receiving unit, used to receive the individual's date of birth, altitude, exercise heart rate and resting heart rate;
[0015] A calculation unit, used for calculating the individual's maximum heart rate and heart rate reserve according to the data acquired by the receiving unit;
[0016] An exercise intensity determination unit is used to determine the current exercise intensity level of the athlete based on the obtained maximum heart rate, heart rate reserve, resting heart rate and exercise heart rate;
[0017] The transmission unit is used to send the determination result of the exercise intensity level to the early warning module.
[0018] Furthermore, the early warning module includes:
[0019] A receiving unit, used for receiving the exercise intensity level transmitted by the real-time calculation module;
[0020] An early warning unit is used to give early warning prompts on the display screen or broadcast alarm information through an alarm voice according to the exercise intensity level;
[0021] The transmission unit is used to send the obtained human body movement intensity determination result to the storage module.
[0022] Furthermore, the storage module includes:
[0023] A receiving unit, used for receiving the exercise intensity determination result transmitted by the real-time calculation module;
[0024] A storage unit, used for storing the result of the exercise intensity determination;
[0025] A query unit, used for individuals to query the results of exercise intensity determination in any time period;
[0026] The display unit is used to display the query result of the query unit.
[0027] A method for assessing risk of high altitude sports, characterized by comprising the following steps:
[0028] Step 1: Obtain the age, altitude, exercise heart rate and resting heart rate of the athlete to be evaluated;
[0029] Step 2: Send the obtained age, altitude, exercise heart rate and resting heart rate to the real-time calculation module to obtain the current individual's exercise intensity determination result, and send the exercise intensity determination result to the early warning module;
[0030] Step 3: The early warning module issues an early warning prompt or voice alarm based on the received exercise intensity determination result, and sends the exercise intensity determination result to the storage module at the same time;
[0031] Step 4: The storage module stores the received exercise intensity determination result.
[0032] Furthermore, the specific steps of step 2 are:
[0033] Step 21: The receiving unit obtains age, altitude, exercise heart rate and resting heart rate;
[0034] Step 22: The calculation unit calculates the maximum heart rate HRmax and the heart rate reserve HRR using the following formula:
[0035] HRmax=213.098-0.789×Age-0.004×Altitude (1)
[0036] HRR=HRmax-HRresting (2)
[0037] Among them, Age represents the individual's age, Altitude represents the altitude of the individual's location, and HRresting represents the resting heart rate;
[0038] Step 23: The exercise intensity determination unit outputs the current individual's exercise intensity level according to the obtained maximum heart rate, heart rate reserve, resting heart rate and exercise heart rate through the following determination conditions:
[0039] 1) If the current exercise heart rate HR belongs to the interval [0.3HRR+HRresting, 0.39HRR+HRresting], the current individual's exercise intensity level is low-intensity exercise;
[0040] 2) If the current exercise heart rate HR belongs to the interval [0.4HRR+HRresting, 0.59HRR+HRresting], the current individual's exercise intensity level is moderate intensity exercise;
[0041] 3) If the current exercise heart rate HR belongs to the interval [0.6HRR+HRresting, 0.89HRR+HRresting], the current individual's exercise intensity level is high-intensity exercise;
[0042] 4) If the current exercise heart rate HR is greater than HRmax, the current individual's exercise intensity level is dangerous exercise.
[0043] Furthermore, the specific steps of step 3 are:
[0044] Step 31: The receiving unit receives the current individual exercise intensity level;
[0045] Step 32: If the exercise intensity level is low intensity or medium intensity, proceed to step 33; if the exercise intensity level is high intensity, proceed to step 34; if the exercise intensity level is dangerous exercise, proceed to step 35;
[0046] Step 33: Display the current intensity level through the display screen, and output a text prompt that the exercise can be continued;
[0047] Step 34: A warning message flashes on the display screen, prompting the exerciser that the current exercise intensity is too high and the exercise should be slowed down appropriately;
[0048] Step 35: The alarm will give you a voice prompt, announcing that your current heart rate has exceeded the maximum standard heart rate and you should stop exercising.
[0049] An electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the plateau sports risk assessment method as described in any one of claims 5 to 7.
[0050] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the plateau sports risk assessment method as described in any one of claims 5 to 7.
[0051] A computer program product, comprising a computer program, which, when executed by a processor, implements the plateau sports risk assessment method described in any one of claims 5 to 7.
[0052] Therefore, the present invention adopts the above-mentioned plateau sports risk assessment method, which has the following beneficial effects:
[0053] (1) The present invention collects information such as physiological parameters and environmental data of plateau athletes, and can accurately assess the risk of plateau sports through the objective data collected, thereby avoiding athletes from assessing sports risks based on their subjective feelings and experience, which results in low accuracy of assessment results;
[0054] (2) The present invention can provide timely risk warnings and alerts to plateau athletes, helping them avoid potential dangerous situations, reduce the risk of accidents, and ensure the personal safety of athletes;
[0055] (3) The present invention can timely detect problems such as sports fatigue and hypoxia by continuously monitoring and analyzing changes in physiological parameters of athletes at high altitudes, and help athletes adjust exercise intensity and rhythm, thereby improving exercise effects and physical fitness levels.
[0056] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0057] Figure 1 The figure is a flow chart of the original sports risk assessment method improved by the present invention.
[0058] Figure 2 This is a structural diagram of the original sports risk assessment device improved by the present invention. DETAILED DESCRIPTION
[0059] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, these embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art make various changes or modifications to the present invention, and these equivalent forms also fall within the scope limited by the claims attached to the application.
[0060] 1. Plateau sports risk assessment device
[0061] like Figure 2 As shown, the present invention discloses a plateau sports risk assessment system, which includes a personal information collection module, an altitude information collection module, an exercise heart rate collection module, a resting heart rate collection module, a real-time calculation module, an early warning module and a storage module; wherein:
[0062] (1) Personal information collection module
[0063] The personal information collection module is used to collect personal information, including the individual's year, month, and day of birth. The user first enters his or her date of birth through the built-in touch screen of this module, and then obtains the current date through the built-in clock. The user's current age is calculated based on the current date and the input year, month, and day, and finally the individual age is sent to the real-time calculation module through the output interface.
[0064] (2) Altitude information collection module
[0065] The altitude information collection module is used to collect the altitude of the individual's current location. The altitude is related to the air pressure at the location. The altitude h is calculated using the following formula:
[0066]
[0067] in:
[0068] h is the altitude (in meters)
[0069] T is standard temperature (usually 288.15K)
[0070] p is the current air pressure (in Pascals)
[0071] P0 is standard atmospheric pressure (usually 101325 Pascals)
[0072] This module uses a pressure sensor (common pressure sensors use piezoresistive or piezoelectric) to collect the current area's air pressure value. A pressure sensor is a sensor that can convert air pressure into an electrical signal output.
[0073] (3) Exercise heart rate acquisition module
[0074] The exercise heart rate collection module is used to collect the heart rate value of an individual during exercise, and its collection frequency is: 10 times per second.
[0075] The exercise heart rate collection method of the present invention uses the collection method in the prior art, and its collection process is mainly as follows: the light source built into this module emits light of a specific wavelength, and these lights pass through the skin of the wearer of this device to reach the bottom of the blood vessels, and then receive the light signal reflected from the skin surface through the built-in photoelectric sensor of this module (usually a photodiode or a photodetector). As the heart beats, blood flows in the blood vessels, causing the blood flow of the skin to change regularly. These changes in blood flow will cause the intensity of the reflected light signal to change accordingly. This module amplifies, filters and processes the received light signals using the methods disclosed in the technology, and converts these signals into heart rate data. After the heart rate data is acquired, the transmission interface of this module sends the heart rate data to the real-time calculation module.
[0076] (4) Resting heart rate acquisition module
[0077] The resting heart rate acquisition module is used to acquire the heart rate value of an individual at rest (in a completely still and relaxed state). The present invention acquires the resting heart rate value within one minute and calculates the average value.
[0078] Resting heart rate collection also uses the collection method in the existing technology. The collection process is as follows: a built-in light source emits light of a specific wavelength, which passes through the skin to the bottom of the blood vessels, and then receives the light signal reflected from the skin surface through the built-in photoelectric sensor (usually a photodiode or photodetector) to collect the heart rate. After the resting heart rate is collected, the built-in transmission interface of this module transmits the resting heart rate data to the real-time calculation module.
[0079] (5) Real-time computing module
[0080] The real-time calculation module is used to calculate the current human exercise intensity level based on the acquired age, altitude, heart rate during exercise, and resting heart rate. The calculation frequency of this real-time calculation module is: 500 times per second. The real-time calculation module includes:
[0081] A receiving unit, used to receive personal information, altitude, exercise heart rate and resting heart rate sent by each module;
[0082] A calculation unit, used for calculating the maximum heart rate HRmax, and calculating the heart rate reserve HRR through the maximum heart rate HRmax and the resting heart rate HRresting;
[0083] Traditional maximum heart rate calculation formulas, such as the age-based maximum heart rate (MHR) prediction formulas given by Fox et al. and Tanaka et al., i.e., MHR=220-age and MHR=208-0.7*age, cannot correctly predict under hypoxic conditions. For example, the Fox formula mainly considers the age factor, but is not sensitive to altitude and cannot accurately measure the maximum heart rate of residents in high-altitude areas. Therefore, on the basis of the traditional formula, the present invention adds altitude as an independent variable, collects age, altitude (independent variable), and true maximum heart rate (dependent variable) data of all subjects through a 20-meter shuttle run and lets the subjects wear a Polar team heart rate monitor, and finally obtains the quantitative relationship between the independent variable and the dependent variable through regression analysis, and proposes a maximum heart rate calculation formula considering altitude as shown in formula (1).
[0084] The calculation formulas for HRmax and HRR are:
[0085] 1) Maximum heart rate HRmax calculation formula:
[0086] HRmax = 213.098–0.789 × Age–0.004 × Altitude (1)
[0087] 2)Heart rate reserve HRR calculation formula:
[0088] HRR=HRmax-HRresting (2)
[0089] Among them, Age represents the individual's age, Altitude represents the altitude of the individual's location, and HRresting represents the resting heart rate;
[0090] The exercise level determination unit is used to determine the current exercise intensity level of the athlete according to the obtained maximum heart rate, heart rate reserve, resting heart rate and exercise heart rate, and the exercise intensity level is divided into low-intensity exercise, medium-intensity exercise, high-intensity exercise and dangerous exercise;
[0091] Judgment principles:
[0092] 1) Low-intensity exercise
[0093] LI interval=[0.3HRR+HRresting,0.39HRR+HRresting]
[0094] The intensity between [0.3HRR+HRresting, 0.39HRR+HRresting] is considered low-intensity exercise;
[0095] 2) Moderate-intensity exercise
[0096] MI interval=[0.4HRR+HRresting,0.59HRR+HRresting]
[0097] The intensity between [0.4HRR+HRresting, 0.59HRR+HRresting] is considered moderate intensity exercise;
[0098] 3) High-intensity exercise
[0099] HI interval=[0.6HRR+HRresting,0.89HRR+HRresting]
[0100] Intensity between [0.6HRR+HRresting, 0.89HRR+HRresting] is considered high-intensity exercise.
[0101] 4) Dangerous sports
[0102] HR>HRmax
[0103] Among them, HR is the personal exercise heart rate collected by the exercise heart rate collection module;
[0104] If the current heart rate HR (data transmitted through the exercise heart rate acquisition module) is higher than the maximum heart rate (HRmax), it is considered a dangerous exercise.
[0105] The transmission unit is used to send the determination result (low-intensity exercise / medium-intensity exercise / high-intensity exercise / dangerous exercise) to the early warning module.
[0106] (6) Early warning module
[0107] The early warning module is used to issue early warning prompts for plateau sports risks based on the judgment results obtained by the real-time calculation module.
[0108] The early warning module includes:
[0109] A receiving unit, used to receive the exercise intensity determination result (low-intensity exercise / medium-intensity exercise / high-intensity exercise / dangerous exercise) transmitted by the real-time calculation module;
[0110] The warning prompt unit is used to display the intensity prompt on the display screen when the human body is in low-intensity or medium-intensity exercise, reminding the athlete that the exercise intensity is appropriate and can be maintained; when the human body is in high-intensity exercise, it is used to display the warning prompt on the display screen, reminding the athlete that the current exercise intensity is too high and the exercise should be slowed down appropriately;
[0111] The alarm unit is used to give voice prompts through an alarm (such as a buzzer, etc.) when the human body is in dangerous exercise, and the voice broadcasts that the current heart rate has exceeded the maximum standard heart rate, please stop exercising.
[0112] The transmission unit is used to send the obtained human body movement intensity determination result to the storage module.
[0113] (7) Storage Module
[0114] The storage module is used to store the exercise intensity determination results transmitted by the early warning module.
[0115] The storage module includes:
[0116] A receiving unit, used for receiving the exercise intensity determination result transmitted by the real-time calculation module;
[0117] A storage unit, used for storing the result of the exercise intensity determination;
[0118] A query unit, used for individuals to query the results of exercise intensity determination in any time period;
[0119] The display unit is used to display the query result of the query unit (the exercise intensity result within the queried time period).
[0120] 2. Risk assessment method for plateau sports
[0121] like Figure 1 As shown, based on the above-mentioned plateau sports risk assessment device, the present invention also discloses a plateau sports risk assessment method, which includes the following steps:
[0122] Step 1: collect the individual's age, the altitude of the individual's location, the individual's exercise heart rate and the individual's resting heart rate through the individual information collection module, the altitude information collection module, the exercise heart rate collection module and the resting heart rate collection module;
[0123] Step 2: The obtained age, altitude, exercise heart rate and resting heart rate are sent to the real-time calculation module respectively to obtain the exercise intensity determination result of the current individual, and the exercise intensity determination result is sent to the early warning module;
[0124] Step 3: The early warning module issues an early warning prompt or voice alarm based on the received exercise intensity determination result (low-intensity exercise / medium-intensity exercise / high-intensity exercise / dangerous exercise), and sends the exercise intensity determination result to the storage module;
[0125] Step 4: The storage module stores the received exercise intensity determination results for later query by individuals.
[0126] Example
[0127] Based on the traditional Fox MHR prediction formula, the present invention proposes a new MHR regression prediction equation as shown in formula (1)-formula (2): MHRHA=213.098-0.789×age-0.004×altitude to estimate the maximum heart rate (MHR) in an oxygen-deficient environment. In order to test the performance of this prediction model, 367 participants were recruited, of which 52 were from Nagqu, Tibet (4,300 meters above sea level) and 315 were from Lhasa (3,680 meters above sea level). All participants were confirmed to have no obvious coronary artery disease through a medical history questionnaire and were all healthy people. All study participants did not take any medications. In order to eliminate potential interference caused by severe obesity, only participants with a body mass index (BMI) <35kg / m 2 of participants.
[0128] As the altitude increases, the commonly used cardiopulmonary exercise test (CPET) is no longer applicable. The present invention uses a 20-meter shuttle test (20-MST) for testing. The 20-MST is an indirect test for evaluating cardiopulmonary endurance. This method simulates an aerobic capacity test with a gradually increasing load in a non-laboratory environment, maximizes the retention of the basic control elements of the progressive load mode in laboratory tests, and is widely used in cardiopulmonary endurance testing. It can effectively measure an individual's maximum oxygen uptake (O2max) and maximum heart rate (MHR).
[0129] The test procedure of the 20-meter shuttle test (20-MST) is to stand at the starting line after warming up, and then run a 20-meter straight line from slow to fast according to Léger's loading procedure, with the music rhythm increasing by one level (stage) per minute, with an initial speed of 8.5 km / h (Léger & Lambert, 1982). After that, the running speed increases by 0.5 km / h for each increase. The test is terminated when the participant cannot keep up with the speed set by the music, stops running in the middle of the run, or fails to reach the finish line in two consecutive rounds after the music starts. During the test, all participants wore a Polar team heart rate monitor to monitor real-time heart rate and record the maximum heart rate (MHR). Based on the maximum heart rate data obtained in the test, a test set was constructed, and the performance of the prediction model was evaluated by k-fold cross validation. It first divides the dataset into k subsets of equal size. Then, the model is constructed k times, using one subset as the test set each time and the remaining subsets as the training set. The fit of the model is measured by calculating the mean absolute error (MAE) and root mean square error (RMSE) in all k trials. Lower MAE or RMSE values indicate that the model under study has a better fit. Next, we use the mean absolute percentage error (MAPE) and the standard error of the estimate (SEE) to evaluate the difference between the model and the real data, and to evaluate the accuracy of the prediction. The smaller the values of MAPE and SEE, the better the performance (accuracy). Specifically, based on the two independent variables of age and altitude, the present invention uses 10-fold cross validation to verify the advantages and disadvantages of the model. The results of the 10-fold cross validation are averaged to obtain the final performance evaluation results, as shown in Table 1. From the results in the table, it is found that the mean absolute error (MAE) and root mean square error (RMSE) of the prediction model are the smallest, thereby proving that the present invention can provide more accurate MHR estimates for people living in high altitude areas.
[0130] Table 1
[0131]
[0132] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.
Claims
1. A plateau sports risk assessment device, characterized in that: include: The personal information collection module is used to obtain the date of birth information of individual athletes; The altitude information collection module is used to obtain the altitude of the current location of the individual athlete; The exercise heart rate collection module is used to collect the exercise heart rate of individual athletes during exercise; The resting heart rate collection module is used to collect the resting heart rate of the individual athlete at rest; A real-time calculation module is used to receive the date of birth information, altitude, exercise heart rate and resting heart rate sent by the above modules to calculate the current human exercise intensity level; An early warning module is used to receive the exercise intensity determination result obtained by the real-time calculation module, and issue an early warning or alarm for plateau exercise risks according to the determination result; The storage module is used to receive and store the exercise intensity determination result sent by the early warning module.
2. The plateau sports risk assessment device according to claim 1, characterized in that: The real-time calculation module comprises: A receiving unit, used to receive the individual's date of birth, altitude, exercise heart rate and resting heart rate; A calculation unit, used for calculating the individual's maximum heart rate and heart rate reserve according to the data acquired by the receiving unit; An exercise intensity determination unit is used to determine the current exercise intensity level of the athlete based on the obtained maximum heart rate, heart rate reserve, resting heart rate and exercise heart rate; The transmission unit is used to send the determination result of the exercise intensity level to the early warning module.
3. The plateau sports risk assessment device according to claim 2, characterized in that: The early warning module comprises: A receiving unit, used for receiving the exercise intensity level transmitted by the real-time calculation module; An early warning unit is used to give early warning prompts on the display screen or broadcast alarm information through an alarm voice according to the exercise intensity level; The transmission unit is used to send the obtained human body movement intensity determination result to the storage module.
4. The plateau sports risk assessment device according to claim 3, characterized in that: The storage module comprises: A receiving unit, used for receiving the exercise intensity determination result transmitted by the real-time calculation module; A storage unit, used for storing the result of the exercise intensity determination; A query unit, used for individuals to query the results of exercise intensity determination in any time period; The display unit is used to display the query result of the query unit.
5. A method for assessing risk of high altitude sports, implemented based on the device according to any one of claims 1 to 4, characterized in that: The following steps are involved: Step 1: Obtain the age, altitude, exercise heart rate and resting heart rate of the athlete to be evaluated; Step 2: Send the obtained age, altitude, exercise heart rate and resting heart rate to the real-time calculation module to obtain the current individual's exercise intensity determination result, and send the exercise intensity determination result to the early warning module; Step 3: The early warning module issues an early warning prompt or voice alarm based on the received exercise intensity determination result, and sends the exercise intensity determination result to the storage module at the same time; Step 4: The storage module stores the received exercise intensity determination result.
6. The plateau sports risk assessment method according to claim 5, characterized in that: The specific steps of step 2 are: Step 21: The receiving unit obtains age, altitude, exercise heart rate and resting heart rate; Step 22: The calculation unit calculates the maximum heart rate HRmax and the heart rate reserve HRR using the following formula: HRmax=213.098-0.789×Age-0.004×Altitude (1) HRR=HRmax-HRresting (2) Among them, Age represents the individual's age, Altitude represents the altitude of the individual's location, and HRresting represents the resting heart rate; Step 23: The exercise intensity determination unit outputs the current individual's exercise intensity level according to the obtained maximum heart rate, heart rate reserve, resting heart rate and exercise heart rate through the following determination conditions: 1) If the current exercise heart rate HR belongs to the interval [0.3HRR+HRresting, 0.39HRR+HRresting], the current individual's exercise intensity level is low-intensity exercise; 2) If the current exercise heart rate HR belongs to the interval [0.4HRR+HRresting, 0.59HRR+HRresting], the current individual's exercise intensity level is moderate intensity exercise; 3) If the current exercise heart rate HR belongs to the interval [0.6HRR+HRresting, 0.89HRR+HRresting], the current individual's exercise intensity level is high-intensity exercise; 4) If the current exercise heart rate HR is greater than HRmax, the current individual's exercise intensity level is dangerous exercise.
7. The plateau sports risk assessment method according to claim 6, characterized in that: The specific steps of step 3 are: Step 31: The receiving unit receives the current individual exercise intensity level; Step 32: If the exercise intensity level is low intensity or medium intensity, proceed to step 33; if the exercise intensity level is high intensity, proceed to step 34; if the exercise intensity level is dangerous exercise, proceed to step 35; Step 33: Display the current intensity level through the display screen, and output a text prompt that the exercise can be continued; Step 34: A warning message flashes on the display screen, prompting the exerciser that the current exercise intensity is too high and the exercise should be slowed down appropriately; Step 35: The alarm will give you a voice prompt, announcing that your current heart rate has exceeded the maximum standard heart rate and you should stop exercising.
8. An electronic device, characterized in that: include: at least one processor; And, a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the plateau sports risk assessment method as described in any one of claims 5 to 7.
9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the plateau sports risk assessment method according to any one of claims 5 to 7 is implemented.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the plateau sports risk assessment method described in any one of claims 5 to 7 is implemented.