Design And Applied Reasch Of Multi-channel Eeg And Emg Acquisition System

With the continuous development of brain-computer interface(BCI)technology research and rehabilitation medicine,the application of physiological signals such as EEG and EMG has become a hot spot.The bio-interface technology based on EEG and EMG signals can control rehabilitation equipment for patients with limb motor dysfunction and help them improve the initiative of rehabilitation training.However,the existing EEG and EMG acquisition equipment is not suitable for the use of rehabilitation training environment.For this reason,this paper designs a multi-channel EEG and EMG acquisition system which can collect EEG and EMG signals in real time.Based on wireless networking technology,it realizes multi-node data synchronous transmission,improves the portability and expansibility of the system,and is suitable for dynamic EEG and EMG acquisition.It is also applied to the experimental study of rehabilitation manipulator control,and the action mode based on EEG and EMG feature fusion.Recognition method is helpful to improve the accuracy of action recognition and manipulator control of brain-computer interface.Firstly,this paper summarizes the current research status of EEG and EMG acquisition system at home and abroad,compares and analyses the advantages and disadvantages of various acquisition devices and the key technologies of EEG and EMG signal acquisition,then introduces the generation mechanism,signal characteristics and detection principle of EEG and EMG signal,and puts forward the overall design scheme of multi-channel EEG and EMG acquisition system.Secondly,the hardware part of EEG and EMG acquisition system is designed.Aiming at the anti-interference ability,high signal-to-noise ratio and wireless node data acquisition requirement of the system,the hardware design of EEG and EMG signal conditioning circuit,analog-to-digital conversion circuit and power supply system are carried out,and the hardware integration of each circuit part is carried out.Thirdly,the software part of EEG and EMG acquisition system is designed.The embedded software program,data communication protocol and data receiving platform are mainly designed.At the same time,in order to realize the working mode of multi-nodeacquisition signal,the data synchronous transmission network is designed to improve the portability and expansibility of the system.Finally,in order to verify the effectiveness of the EEG and EMG signal acquisition system,the performance of the acquisition system such as amplification and filtering is tested by simulation software,and the circuit is tested by oscilloscope,and the effect of each level of circuit is tested.The EEG and EMG acquisition system was compared with similar acquisition equipment on the market.The application of EEG and EMG acquisition system in the control of rehabilitation manipulator is experimentally studied.The method of EEG and EMG feature fusion based on particle swarm optimization algorithm is used to realize EEG and EMG fusion and classification of motion modes,and then the motion recognition and manipulator control of wrist flexion and extension are carried out by this fusion method.