Research And Design Of Artifact Removal Circuits And Systems Applied In Electric Bridge Of The Ipsilateral Muscle

With the aggravation of the aging problem in Chinese society,more and more attention has been paid to the phenomenon of hemiplegic.Both the academia and industry attach immense importance to it.Our research group has put forward a scheme of treatment for hemiplegic patients via EMG(electromyography)bridge(EMGB).However,the contralateral control used in this scheme is more suitable for patients with weak muscle strength in the paralyzed side.But for the patients with the muscle strength remaining in the hemiplegic side,the autonomic EMG signal can be extracted from the hemiplegia muscle,and act as the modulation control source of the hemiplegia muscle electrical stimulation.This will be more fitting for the patient's autonomic willingness to assist in the task-oriented training of the limb.It is called the ipsilateral control.Because the detection signal end is affected by the artifact from the stimulation end,the EMBG can only carry on the contralateral control rehabilitation training.It is particularly urgent that we raise a method of a hardware implementation of stimulus artifact removal(SAR)algorithm based on EMGB of the ipsilateral muscle.In this paper,we did the related research and design.Firstly,the characteristics of EMG signals are analyzed.Then mathematical modeling mechanism as well as the evaluation criteria for EMG signal processing are introduced to provide the theoretical basis of selecting the appropriate algorithm to remove artifacts.Secondly,we demonstrated why Gram-Schmidt algorithm is selected at last to realize the hardware implementation of artifacts removal.It is an open loop adaptive filter.We get the simulation results of both the ideal model and measured data based on MATLAB and determine the structure and order of the filter that we finally use.What is more,the algorithm is improved to solve the problem of the new noise introduced considering the simulation results.Thirdly,the artifacts removal system is designed with the top-down method and realized with Verilog language.An appropriate iterative structure is proposed to realize the Gram-Schmidt algorithm to save logical resources and make it easier to debug.The paper presents the design synthesis report of artifacts removal algorithm system and the board test results in the following part.We collect the real time signal processing data of the algorithm with test instrument and analyze the real time function and performance of the algorithm.It is found that the results of the algorithm hardware implementation and the simulation results coincide with each other and at the same time,meet the index requirements.Finally,we point out the disadvantages in design and the direction for further research.