| In recent years,the research on the mechanism of upper limb movement has covered the neural control mechanism and rehabilitation of the shoulder,arm and hand.When the upper limbs move,an electrophysiological activity will be generated in the cerebral cortex,that is,the movement-related potential(MRP),which reflects the interaction between human muscle activity and the nervous system.The current research on upper limb movement lacks a systematic analysis of the MRP induced by it and its brain network.Therefore,this paper explores the brain neurophysiological changes in upper limb movement by studying the MRP induced by different grip strength and different gesture movements,which will help to understand the role of the brain in motor control and motor planning,the research is as follows:1.MRP extraction and mechanism research under different fist clenching movements.For the extraction method of MRP,this paper synchronously collects the electroencephalogram(EEG)signal and electromyogram(EMG)signal under the high and low grip strength of the subject,and extracts the MRP by finding the starting point of movement from the EMG.Label extraction MRP,this method can largely eliminate the error caused by the difference in response delay of the subjects,and then analyzed the difference between MRP under high and low grip strength and the activation mechanism of the cortex,the results show that: the negative peak component of MRP on the contralateral lead C3 was significantly enhanced when the fist was firmly clenched.At the same time,the source localization results showed that the activation of the superior temporal gyrus and the inferior frontal gyrus was more significant when the fist was clenched vigorously;then a coherent network was constructed for MRP,and the Topology and network properties for differential analysis.The results show that the long-distance connection of the frontal-parietal lobe is significantly enhanced in the fist,the characteristic path length of the fist is significantly reduced,and the clustering coefficient,global efficiency and local efficiency are significantly increased.Finally,the fusion of network topology and network attribute features is paired with the two Grip strength classification with an accuracy rate of up to 85%.The findings of this study provide powerful guidance for upper limb motor rehabilitation.2.MRP extraction and mechanism research under different gesture movements.In this chapter,the statistical analysis of the differences in MRP between the left and right thumbs and fists was first performed.The results show that the amplitude of the MRP of the fisting movement is significantly stronger than that of the thumb.Then,the source localization technology is used to analyze the cortical source activity of the thumb and fisting movement.Compared with thumb movement,fist movement has stronger activation in the frontal cortex and precentral gyrus;finally,the brain network characteristics of thumb and fist are captured.The difference in network topology shows that,compared with thumb movement,the connection between the frontal-parietal lobe and the temporal-occipital lobe is stronger in the fist movement;at the same time,the characteristic path length is significantly reduced,and the global efficiency,clustering coefficient and local efficiency are significantly enhanced.The research results provide a theoretical basis for the field of automatic control and sports rehabilitation.In summary,this paper constructs the MRP brain network through the coherence analysis method,and finds that the source activity of the brain is mainly concentrated in the frontal lobe,temporal lobe and central motor area during upper limb movement.The ability to exchange information.The research results provide new ideas and technical means for sports rehabilitation and intelligent control. |
