Motion function monitoring management method based on electroencephalogram and myoelectricity cross frequency coupling

Abstract

The invention provides a motor function monitoring management method based on electroencephalogram and myoelectricity cross frequency coupling. The motor function monitoring management method comprises the steps that electroencephalogram signals EEG and myoelectricity signals EMG are synchronously collected; baseline drift, overflow, eye movement and power frequency interference are correspondingly removed from the collected EEG and EMG; and cross frequency coupling analysis between EEG signals and EMG is studied, and the relation between cerebral cortex and muscles in different motion states is obtained. Four main methods in cross frequency coupling, namely phase-phase coupling PPC, phase-amplitude coupling PAC, frequency-amplitude coupling FAC and frequency-frequency coupling FFC, are selected, four different types of coupling methods are analyzed, a neuromuscular system motion function monitoring model based on multi-modal characteristic indexes is constructed, relevance research of the four methods is carried out, so that a relatively accurate analysis result is obtained, a physiological mechanism generated by the motion function is researched, and neuromuscular system motion function monitoring is effectively managed.

Description

technical field [0001] The invention relates to the fields of motion control and neuroscience, in particular to a motor function monitoring and management method based on cross-frequency coupling of brain myoelectricity. Background technique [0002] The rational and effective completion of limb movement is achieved by the functional interaction and information transmission between the cerebral cortex and the muscles that dominate the limbs. Existing studies have shown that in the motor control system, from the brain that controls the command output to the limb terminal that performs the action, multi-level parallel or hierarchically arranged cells, tissues, organs and institutions are required to participate in accordance with certain established rules. Therefore, the brain and The information interaction between the corresponding limb muscles must be a complex interaction process. [0003] During exercise, there are different levels and degrees of information interaction ...

AI Technical Summary

Problems solved by technology

However, current research on neuromuscular functional coupling has mainly focused on the IFC, while little has been done on the CFC

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