Motion function monitoring management method based on myoelectricity and muscle oxygen signals

A technology for monitoring management and movement functions, applied in the fields of electromyography and near-infrared spectroscopy, which can solve problems such as difficulty in reflecting nonlinear global coupling characteristics, and achieve the effect of effective characterization and accurate monitoring and management.

Active Publication Date: 2021-08-10
YANSHAN UNIV
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AI Technical Summary

Problems solved by technology

The existing EMG-MO2 coupling features are mainly based on the correlation analysis between EMG features and muscle oxygen parame

Method used

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  • Motion function monitoring management method based on myoelectricity and muscle oxygen signals
  • Motion function monitoring management method based on myoelectricity and muscle oxygen signals
  • Motion function monitoring management method based on myoelectricity and muscle oxygen signals

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Embodiment Construction

[0078] Below, refer to the attached Figure 1-3 Embodiments of the present invention will be described.

[0079] The implementation of the present invention will be described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation mode and specific operation process are provided.

[0080] like figure 1 As shown, this embodiment includes the following steps:

[0081] Step 1. Build an experimental platform for synchronous acquisition of multi-modal signals, determine the motion paradigm and design the experimental plan. The specific process is as follows:

[0082] 1-1. Construction of multi-mode signal synchronous acquisition experiment platform: based on 10-channel Trigno TM The wireless EMG acquisition system (Delsys Inc, USA) and the 10-channel wireless muscle oxygen monitor (NIRS MOXY, USA) build a multi-modal signal synchronous acquisitio...

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Abstract

The invention provides a motion function monitoring management method based on myoelectricity and muscle oxygen signals. The method comprises: synchronously collecting multi-channel myoelectricity and muscle oxygen signals in different motion modes; preprocessing the myoelectricity and muscle oxygen signals; performing feature extraction on the preprocessed signal; constructing a multi-modal feature inter-index regression analysis model, carrying out regression analysis on feature indexes, and researching a relationship between every two indexes; constructing a muscle-blood vessel state monitoring model based on multi-modal characteristic indexes, and achieving objective description and accurate monitoring of the motion function. According to the method, multi-modal correlation and coupling analysis methods are developed and researched, single-modal and transmembrane coupling characteristic indexes for effectively describing multi-level coupling characteristics are constructed from the aspects of muscle coordination characteristics, tissue blood oxygen metabolism, muscle-blood vessel nonlinear coupling characteristics and the like, and multi-level information interaction characteristics between muscles and blood vessels are comprehensively described; and multi-level effective description and accurate monitoring management of the motion function are realized.

Description

technical field [0001] The invention relates to the technical field of myoelectricity and near-infrared spectroscopy, in particular to a method for monitoring and managing motor function based on myoelectricity and muscle oxygen signals. Background technique [0002] Oxygen is crucial to human life. The human body inhales oxygen through the respiratory system, and transports oxygen to various organs throughout the body through the blood circulation system to meet the oxygen demand of cells in human tissues during metabolism. When the human body is exercising, the stimulation of nerve electrical activity will cause muscle contraction, and muscle contraction is usually accompanied by an increase in oxygen consumption. With the increase of exercise time, the main physiological and biochemical responses are: changes in oxygen content in local muscles, muscle nerve electrical activity enhancement etc. Therefore, monitoring changes in muscle oxygen and EMG signals during exercise...

Claims

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Application Information

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IPC IPC(8): A61B5/389A61B5/00
CPCA61B5/0075
Inventor 谢平王子怡程生翠刘兰祥王稼鑫杨轶楠董晓娇李增勇陈晓玲
Owner YANSHAN UNIV
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