Motion risk prediction method and system based on wearable motion equipment

Abstract

The invention discloses a motion risk prediction method and system based on wearable motion equipment, and relates to the field of motion risk prediction. The method comprises the following steps: step 1, acquiring pre-input first body index data of a user in a quiet state; step 2, acquiring electrocardiogram data measured by the motion equipment in the motion process of the user; step 3, determining the type of the user according to the electrocardiogram data; step 4, acquiring second body index data measured by the motion equipment when the user is in a quiet state; and step 5, combining thesecond body index data with the first body index data and the type of the user to obtain a prediction result. According to the method, the problem that the accuracy of a prediction method cannot meetthe requirement obviously can be solved, and the effects of effectively preventing the possibility of cardiovascular risk events in motion and improving the safety coefficient of outdoor motion are achieved.

Description

technical field [0001] The invention relates to the field of sports risk prediction and protection, in particular to a sports risk prediction method and system based on wearable sports equipment. Background technique [0002] Exercise has become a healthy way of life for the general public. However, exercise is a double-edged sword. While people can achieve physical fitness through exercise, they will also face health risks that may be brought about by unscientific exercise. Although heart disease and sudden death during exercise are rare, inappropriate exercise, such as sudden increase in exercise volume, exercise intensity, and acute psychological stress, can easily cause cardiovascular risk events. Even people who regularly take part in sports usually have a greater chance of sudden cardiac death and myocardial infarction during strenuous physical activity, and with increasing age, the probability of cardiovascular risk events during exercise also gradually increases. Exi...

AI Technical Summary

Problems solved by technology

[0002] Exercise has become a healthy way of life for the general public. However, exercise is a double-edged sword. While people can achieve physical fitness through exercise, they will also face health risks that may be brought about by unscientific exercise.

Although heart disease and sudden death are rare during exercise, cardiovascular risk events are likely to occur due to inappropriate exercise, such as sudden increase in exercise volume, exercise intensity, and acute psychological stress

Even people who regularly take part in sports usually have a greater chance of sudden cardiac death and myocardial infarction during strenuous physical activity, and with increasing age, the probability of cardiovascular risk events during exercise also gradually increases. Existing Obviously, the accuracy of the prediction method cannot meet the requirements

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