Wearable human upper limb muscle fatigue detection and training system based on multi-sensor data fusion

A technology of muscle movement and data fusion, applied in the field of human muscle fatigue detection and training, can solve the problems of no physiological characteristics, analysis, noise increase, etc., to solve information distortion, improve accuracy and reliability, improve reliability and robustness sticky effect

CN109222969APending Publication Date: 2019-01-18ZHENGZHOU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2019-01-18

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Abstract

The invention discloses a wearable human upper limb muscle fatigue detection and training system based on multi-sensor data fusion. The system comprises a signal acquisition module, a data processingmodule, an alarm module and a human-computer interaction module. A surface electromyography sensor, a muscular sound sensor and a blood oxygen saturation sensor constitute a multi-sensor acquisition array which are worn on that measured upper limb part, and data fusion is carry out based on a weighted average method to synthetically calculate the muscle fatigue parameters of the upper limb, thereby greatly improving the detection accuracy of the muscle fatigue of the upper limb. If the parameter reaches the preset value, the system can give the fatigue alarm reminder. The system also has the function of muscle strength training, By collecting surface electromyography signals and muscle tone signals to judge human upper limb movements and muscle strength, and real-time monitoring muscle fatigue status, using wireless transmission mode to upload data to the human-computer interaction module, matching with the virtual game, make the upper limb muscle strength training process more interesting, and effectively improve its training effect.
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Description

technical field

[0001] The invention relates to the field of human muscle fatigue detection and training, in particular to a wearable human upper limb muscle exercise fatigue detection and training system based on multi-sensor data fusion. Background technique

[0002] To a certain extent, stroke patients can achieve full recovery through moderate exercise and reasonable exercise, but stroke patients are more prone to muscle fatigue than ordinary people during exercise rehabilitation training, and most patients have impaired central nervous system function at the training site During the training, the patient's brain cannot obtain feedback information about muscle activity in time. With the aggravation of fatigue, the muscle tension will increase significantly, causing serious consequences such as spasms and strains, which may easily cause secondary damage to human muscles; in sports In terms of competition, in order to improve the performance of athletes during training, ex...

Examples

Embodiment

[0035] First, wear the human upper limb muscle fatigue detection equipment on the upper limb to be tested. After the cuff is put on, start to inflate the cuff with a manual blower ball until the sensor is fully in contact with the skin, stop inflating, and pull out the blower ball ;Before training, firstly calibrate the device, after calibration, it can be used normally; when using, select the system mode, that is, the detection mode and the training mode; Fatigue detection function, when the user reaches the fatigue state, it will alarm to remind the user; in the training mode, the wearable device first needs to connect with the human-computer interaction module, after the connection is successful, the user needs to train according to the preset game of human-computer interaction, the training process The user will be scored and given the training level. The user can also store and query the training results. At the same time, the fatigue detection function is still in the nor...