CN-120983055-B - Muscle fatigue early warning method and device, storage medium and electronic equipment

CN120983055BCN 120983055 BCN120983055 BCN 120983055BCN-120983055-B

Abstract

The application relates to a muscle fatigue early warning method, a device, a storage medium and electronic equipment, and relates to the technical field of muscle fatigue monitoring, wherein the method comprises the steps of obtaining exercise plan information of a target user at this time; the method comprises the steps of planning exercise actions and corresponding planning times according to a user, determining at least one muscle part to be monitored from all muscle parts of a target user, obtaining actual myoelectric signals of all the muscle parts to be monitored, determining the corresponding muscle parts to be monitored as abnormal muscle parts if the actual myoelectric signals are abnormal, determining whether muscle fatigue risks exist in the abnormal muscle parts according to the actual exercise actions and the corresponding actual times which are finished currently by the target user, and giving out muscle fatigue early warning aiming at the abnormal muscle parts if the muscle fatigue risks exist in the abnormal muscle parts. The application has the effect of improving the accuracy of early warning on muscle fatigue.

Inventors

YANG SHUMING

Assignees

无锡市惠山区人民医院

Dates

Publication Date: 20260512
Application Date: 20250813

Claims (8)

1. A method for early warning of muscle fatigue, the method comprising: acquiring exercise planning information of a target user, wherein the exercise planning information comprises at least one planned exercise action and corresponding planning times; determining at least one muscle part to be monitored from the muscle parts of the target user according to each planned exercise action and the corresponding planned times, wherein the at least one target muscle part is determined according to a plurality of historical muscle parts with muscle fatigue under single exercise action, and the target muscle part is a historical muscle part which is easy to induce muscle fatigue; Determining at least one corresponding target frequency range according to the frequency range of the single body-building action completion frequency when the historical user has muscle fatigue at the single target muscle part, wherein the target frequency range is a frequency range which is easy to induce muscle fatigue, and the historical user is consistent with the target user in body-building action and user portrait; determining a first weight of each target muscle part, and determining a second weight of a target frequency range corresponding to each target muscle part, wherein the first weight represents the possibility of muscle fatigue of the target muscle part, and the second weight represents the possibility of muscle fatigue when the number of times of completing single body-building action is within the target frequency range; Determining at least one muscle part to be monitored from all muscle parts of the target user according to a first weight value, a second weight value, each planned exercise action and corresponding planned times corresponding to a single exercise action, wherein the method comprises the steps of determining the corresponding target muscle part as an important muscle part and determining the corresponding target time range as an important time range for the single planned exercise action if corresponding planned times exist in the target time range corresponding to the target muscle part; Calculating a first product of a first weight of each key muscle part and a second weight of a corresponding target frequency range, and summing the first products corresponding to the same key muscle part based on the first products corresponding to each planned exercise to obtain a corresponding first summation result; comparing the first summation result with a preset first threshold value, and if the first summation result exceeds the first threshold value, determining the corresponding key muscle part as the muscle part to be monitored; acquiring actual myoelectric signals of all muscle parts to be monitored, if the actual myoelectric signals are abnormal, determining the corresponding muscle parts to be monitored as abnormal muscle parts, and determining whether the abnormal muscle parts have muscle fatigue risks according to the actual exercise actions and the corresponding actual times which are finished currently by the target user; and if the abnormal muscle part is determined to have the risk of muscle fatigue, sending out early warning of muscle fatigue aiming at the abnormal muscle part.
2. The method for early warning of muscular fatigue according to claim 1, wherein the determining whether the abnormal muscular site has a muscular fatigue risk according to the actual exercise performed by the target user and the corresponding actual times comprises: Aiming at a single actual body-building action which is finished currently by the target user, if corresponding actual times exist in a target time range corresponding to the target muscle part, determining the corresponding target muscle part as a reference muscle part, and determining the corresponding target time range as a reference time range; Calculating a second product of the first weight of each reference muscle part and a second weight of the corresponding reference frequency range, and summing the second products corresponding to all actual body-building actions to obtain a second summation result; If the second summation result is larger than a preset second threshold value, summing second products of the same reference muscle part in second products corresponding to all actual body-building actions to obtain a corresponding third summation result; if the third summation result exceeds a preset first threshold value, determining a corresponding reference muscle part as a risk muscle part, and determining that the abnormal muscle part has muscle fatigue risk when the abnormal muscle part is the risk muscle part; and when the abnormal muscle part is not the risk muscle part, determining that the abnormal muscle part is not at risk of muscle fatigue.
3. The muscle fatigue warning method according to claim 2, further comprising: when the abnormal muscle part does not have the muscle fatigue risk, if the abnormal muscle part is the reference muscle part, summing the second products of the same abnormal muscle part in the second products corresponding to all the actual body-building actions to obtain a corresponding fourth summation result; calculating a difference value of the first threshold value minus the fourth summation result, and if the difference value does not exceed a preset difference value threshold value, determining a planned exercise motion which is not started yet as a residual motion; If the abnormal muscle part exists in each target muscle part corresponding to the residual action, determining the corresponding residual action as an action to be adjusted, and calculating a third product of a first weight of the abnormal muscle part and a second weight of each corresponding target frequency range for a single action to be adjusted; selecting a minimum third product from the third products, and summing the fourth summation result and the minimum third product corresponding to the actions to be adjusted to obtain a final summation result; And if the final summation result does not exceed the first threshold value, determining the corresponding proper times of actions to be adjusted based on the target times range corresponding to the single least third multiplication product, and sending the proper times to the terminal of the target user.
4. The muscle fatigue warning method according to claim 1, further comprising: If the abnormal muscle part is determined to have no muscle fatigue risk, determining at least one part to be concerned according to the muscle part with poor electrode contact when the historical user exercises, wherein the part to be concerned is the muscle part with poor electrode contact when the electromyographic signal is monitored; Determining at least one corresponding action to be focused according to the historical exercise action causing the poor contact of the electrode at the single part to be focused, wherein the action to be focused is the historical exercise action which is easy to cause the poor contact of the electrode; determining a first weight of each part to be focused, and determining a second weight of an action to be focused corresponding to each part to be focused; And verifying that the abnormal muscle part is free from muscle fatigue risk according to the first weight, the second weight and each actual body-building action.
5. The method for early warning of muscular fatigue according to claim 4, wherein the verifying that the abnormal muscular site is free of muscular fatigue risk according to the first weight, the second weight and each of the actual fitness actions specifically comprises: If at least one actual exercise action exists in each exercise action corresponding to the to-be-focused part, determining the corresponding to-be-focused part as a focused attention part, and calculating a fourth product of a first weight of the abnormal muscle part and a second weight of each corresponding actual exercise action when the abnormal muscle part is the focused attention part; summing the fourth products to obtain a fifth summation result corresponding to the abnormal muscle part; And comparing the fifth summation result with a preset third threshold value, and if the fifth summation result exceeds the third threshold value, determining that the abnormal muscle part is not checked to pass the risk verification of muscle fatigue.
6. A muscle fatigue early-warning device for implementing the muscle fatigue early-warning method according to any one of claims 1 to 5, characterized by comprising: the information acquisition module (11) is used for acquiring exercise planning information of the target user, wherein the exercise planning information comprises at least one planned exercise action and corresponding planning times; A position determining module (12) for determining at least one muscle position to be monitored from among the muscle positions of the target user according to each planned exercise and the corresponding planned times; the risk judging module (13) is used for acquiring actual myoelectric signals of all the muscle parts to be monitored, if the actual myoelectric signals are abnormal, determining the corresponding muscle parts to be monitored as abnormal muscle parts, and determining whether muscle fatigue risks exist in the abnormal muscle parts according to the actual exercise actions which are finished currently by the target user and the corresponding actual times; And the fatigue early warning module (14) is used for sending out the early warning of the muscle fatigue aiming at the abnormal muscle part if the abnormal muscle part is determined to have the risk of the muscle fatigue.
7. A computer readable storage medium having a computer program stored therein, characterized in that the computer program, when loaded and executed by a processor, implements the method of any of claims 1-5.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory and capable of running on the processor, characterized in that the method of any of claims 1-5 is implemented when the computer program is loaded and executed by the processor.

Description

Muscle fatigue early warning method and device, storage medium and electronic equipment Technical Field The application relates to the technical field of muscle fatigue monitoring, in particular to a muscle fatigue early warning method, a device, a storage medium and electronic equipment. Background Muscle fatigue refers to a phenomenon in which after continuous contraction or repeated exercise, the muscle fails to maintain normal contraction force or speed, resulting in a decrease in exercise capacity. It is a state of temporary decline in muscle function, often associated with factors such as energy metabolism, nerve control, and muscle fiber injury. The early warning of muscle fatigue refers to that a prompt is sent out by body signals, physiological indexes or technical means before the muscle is about to enter a fatigue state, so that the muscle is reminded to adjust the exercise intensity in time, rest or take intervention measures so as to avoid excessive fatigue and damage. It is an important strategy for preventing sports injury and optimizing training effect. Muscle fatigue pre-warning is also widely used in the field of fitness. At present, the muscle fatigue early warning of the body-building personnel is generally carried out by collecting the electromyographic signals of the body-building personnel, carrying out signal characteristic analysis on the electromyographic signals, and judging whether the muscle fatigue risk exists or not through a preset fixed threshold value, but the electromyographic signals are easily influenced by poor contact of electrodes and the like when the electromyographic signals are collected, so that the judgment accuracy of the muscle fatigue risk is disturbed through the fixed threshold value judgment mode, and the accuracy of the muscle fatigue early warning is poor. Disclosure of Invention In order to improve the accuracy of early warning of muscle fatigue, the application provides a method and a device for early warning of muscle fatigue, a storage medium and electronic equipment. In a first aspect of the present application, a method for early warning of muscular fatigue is provided, comprising: acquiring exercise planning information of a target user, wherein the exercise planning information comprises at least one planned exercise action and corresponding planning times; Determining at least one muscle part to be monitored from the muscle parts of the target user according to each planned exercise action and the corresponding planned times; acquiring actual myoelectric signals of all muscle parts to be monitored, if the actual myoelectric signals are abnormal, determining the corresponding muscle parts to be monitored as abnormal muscle parts, and determining whether the abnormal muscle parts have muscle fatigue risks according to the actual exercise actions and the corresponding actual times which are finished currently by the target user; and if the abnormal muscle part is determined to have the risk of muscle fatigue, sending out early warning of muscle fatigue aiming at the abnormal muscle part. By adopting the technical scheme, after the planned exercise action and the corresponding planned times of the exercise of the target user are obtained, the possible occurrence of muscle fatigue of each muscle part is analyzed based on the planned exercise action and the corresponding planned times, and then the muscle part to be monitored is determined, so that the targeted detection of the muscle fatigue of the target user is realized based on the exercise plan information. Further, if the actual electromyographic signals are abnormal, which means that the abnormal muscle parts possibly have muscle fatigue risks, and the existence of the muscle fatigue risks needs to be further verified, the size of the possibility that the abnormal muscle parts have muscle fatigue is analyzed on the premise of the completed fitness content according to the actual fitness actions completed by the target user and the corresponding actual times, so that whether the abnormal muscle parts have the muscle fatigue risks is determined, if the abnormal muscle parts have the muscle fatigue risks, in order to intervene for the muscle fatigue in advance, the muscle fatigue early warning is sent out for the abnormal muscle parts, and the accuracy of the muscle fatigue early warning is improved. In one embodiment, the determining at least one muscle part to be monitored from the muscle parts of the target user according to each planned exercise and the corresponding planned times specifically includes: Determining at least one target muscle site from a plurality of historical muscle sites that have developed muscle fatigue under a single exercise session, the target muscle site being a historical muscle site that is prone to inducing muscle fatigue; Determining at least one corresponding target frequency range according to the frequency range of the single body-building action completion freq