Font Size: a A A

Design And Application Of Wearable Multi-node Emg-inertial Acquisition System

Posted on:2021-04-07Degree:MasterType:Thesis
Country:ChinaCandidate:K WangFull Text:PDF
GTID:2392330611471349Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the increasing ageing of population in our country and the high incidence of stroke,parts of stroke patients often will suffer from serious limb dysfunction after an operation.Patients may take great risk of sports injury during rehabilitation training,so they need comprehensive motion monitoring.It is necessary to collect and analyze the limb EMG signal and inertia information of patients for sports monitoring.The research on information acquisition and analysis technology of EMG signal and inertia has become hot topic in recent year.Only EMG signal can't make a comprehensive judgment of limb motion state.The combination of multi-channel EMG acquisition and inertial sensor technology can achieve a more comprehensive monitoring and evaluation of limb motion.With the increase of acquisition nodes,it can further improve the accuracy of limb motion monitoring and increase the evaluation indicators.Currently,the general monitoring equipment only has one or two acquisition nodes.With the increase of acquisition nodes,the cost will rise sharply.Therefore,a wearable multi-node EMG inertial acquisition system is designed in this paper,which can realize multi-node synchronous real-time acquisition with lower cost.It is applied to the monitoring of lower limb motor function,and develops an upper computer monitoring platform to monitor multiple physiological indexes and movement status of patients in real-time.The main contents of this paper are as follows:Firstly,in order to overcome the shortage of the current similar equipment EMG signal and inertia information collection node,wireless lan technology is presented which can achieve multi node synchronous real-time acquisition at lower cost.Based on the analysis of the research status of EMG and inertia information,as well as the research of multi-channel EMG and inertia data acquisition technology,an overall structure scheme of wearable multi-node EMG inertia acquisition system is designed.Secondly,the hardware of the wearable multi-node EMG inertial acquisition system is designed.Based on the robustness of the multi-node EMG synchronous acquisition system,the EMG signal collecting circuit and the inertial information acquisition circuit are designed,simulated and tested.Aiming at the synchronous acquisition of multi-node and multi-channel information,the embedded hardware circuit and multi-information transceiver circuit are built.Finally,the power system is designed and integrated processing based on signal integrity is carried out.According to the characteristics of multi-node signal acquisition,a wearable equipment has been developed.Thirdly,the software part of the wearable multi-node EMG inertial acquisition system is designed,and the embedded program of the system is designed according to the requirements of reasonable task allocation,high-speed information transmission and low power consumption.In order to realize multi-node networking and multi-channel information synchronous acquisition,the wireless transmission network design is carried out;according to the system flexibility demand,design multi-information transceiver Wi-Fi wireless transmission and serial(USB)wired transmission;according to the multi index analysis and data visualization requirements,the EMG and inertia data preprocessing and feature extraction methods are designed,and the upper computer monitoring platform software is established.Finally,in order to verify the performance of the designed acquisition system,we compare it with another,and apply it to the lower limb movement monitoring.Through the lower limb movement fatigue and gait monitoring experiment,we can achieve synchronous acquisition of EMG signal and inertia information,and get fatigue estimation and gait analysis to verify the effectiveness of the system.
Keywords/Search Tags:EMG signal, Inertial information, Motion monitoring, Multi-node, Information networking, Wearable
PDF Full Text Request
Related items