Study On EEG-EMG Coupling During Static Contraction Of Muscle Under Low Intensity Progressive Load

The human body is a complex physiological system,which can interact across multiple scales of time and space.The motor nervous system transmits motion control information through bioelectric signals,which can reflect the functional coupling information between cortical and muscle from multi-level.When the motor center in the brain issues a bioelectric signal as a command to activate a target muscle.It travels through the nerve center to the target muscle and causes the target muscle to contract.At the same time,the target muscle collects information from the environment and processes it into electrical signals,acting like a sensor.These electrical signals are returned to the brain through the nerve center.The brain comprehensively judges this information and then issues instructions to accurately complete the target action.In the process of limb movement,electrical signals flow in the circuit composed of the brain,central nervous system,and muscles,which indicates that there is a certain causal relationship between electroencephalogram and electromyography.This paper collects and analyzes the characteristics of electroencephalogram signals and electromyography signals generated during static contraction of muscles under low-intensity progressive loads and active wrist flexion test to study the coupling relationship between the brain and muscles in this exercise mode.The specific work is as follows:(1)In order to study the coupling between brain and muscle,the paper designs a static muscle contraction under low intensity progressive load experimental and active wrist flexion test then sets up the experimental platform.It is used to collect the electroencephalon signals of the C3 channel and the electromyography signals from the flexor and superflexor of the right arm.In order to obtain the pure EEG and EMG signals,adaptive notch filter and filter is used to denoise the power frequency interference and high frequency noise.(2)This paper uses the variational modal decomposition on the pre-processed EEG and EMG signals to obtain their intrinsic mode functions and send the intrinsic mode functions into intrinsic mode functions.The experimental process is divided at different time scales to draw a graph of the change in transfer entropy.(3)From the transfer entropy vaule,it is found that the main frequency band of electroencephalogram and electromyography coupling is the ? frequency band.From the figure,It is found that as the load changes,the degree of coupling between the brain and muscles also changes.The research results of this paper provide a certain theoretical and experimental basis for the further research in the fields of artificial intelligence,rehabilitation medicine and brain cognitive science,and prepare for the further research on brain control movement,which has the dual value of theory and practical application.