Classification of human movements with and without spinal orthosis based on surface electromyogram signals

作     者：Chenyan Wang Xiaona Li Yuan Guo Ruixuan Zhang Weiyi Chen 

作者机构：College of Biomedical EngineeringTaiyuan University of TechnologyTaiyuanChina 

出 版 物：《Medicine in Novel Technology and Devices》 (医学中新技术与新装备（英文）)

年 卷 期：2022年第16卷第4期

页      面：141-149页

学科分类：1001[医学-基础医学(可授医学、理学学位)] 10[医学] 

基　　金：the National Natural Science Foundation of China(Grant numbers 11632013 11772214 and 11802196) 

主　　题：Surface electromyogram Machine learning Spinal orthosis Trunk movements Classification 

摘      要：Spinal orthoses were designed to correct poor posture;however,they may restrict trunk movements at all times,making daily activities *** trunk movements can provide instructions for adjusting the stiffness of the spinal *** study evaluated the feasibility of identifying movements based on surface electromyography(sEMG)*** participants were tested for different movements with two different modalities:motion without the spinal orthosis(Normal)and with the spinal orthosis(Spinal orthosis).The sEMG signals were collected from eight muscles using surface electrodes during four movements[flexion-extension,lateral bending,axial rotation,and stand to sit to stand].Four time domain features were extracted,with a total of 32 feature *** principal component analysis(PCA)method was adopted to feature selection,and it was found that eight feature dimensions can make cumulative explained variance exceed 95%.The results showed that machine learning algorithms could not only identify Normal and Spinal orthosis movement modalities,but also distinguish four daily ***,the classification performance of Random Forest(RF),k-Nearest Neighbor(kNN),and Support Vector Machine(SVM)algorithms were also *** results showed that all three machine algorithms have high classification *** machine learning methods can accurately identify movement patterns by considering sEMG signals,which may provide instructions for adjusting the stiffness of the spinal *** the future,the spinal orthosis with adjustable stiffness controlled by sEMG signals could help correct poor posture,and permit the wearer to achieve free movement when needed.