Shoulder girdle recognition using electrophysiological and low frequency anatomical contraction signals for prosthesis control
作者机构:Nsugbe Research LabsSwindonUK Biomedical Engineering DepartmentAl-Khwarizmi College of EngineeringUniversity of BaghdadBaghdadIraq
出 版 物:《CAAI Transactions on Intelligence Technology》 (智能技术学报(英文))
年 卷 期:2022年第7卷第1期
页 面:81-94页
核心收录:
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 authors would like to thank Dr. Carol Phillips for originally pitching the idea of how neuromuscular programming could be applicable in this area of research. They would like to thank Gaith Sharba for providing the dataset used in this study and Brian Kerr from Kerr Editing for proofreading the manuscript
主 题:cybernetics electromyography neuromuscular reprogramming pattern recognition prosthesis control upperlimb amputees
摘 要:Shoulder disarticulation amputees account for a small portion of upper-limb amputees,thus little emphasis has been devoted to developing functional prosthesis for this cohort of *** this study,shoulder girdle recognition was investigated with acquired data from electrophysiological(electromyography[EMG])and low frequency contraction(accelerometer[Acc])signals from both amputee and non-amputee *** contribution of this study is based around the contrast of the classification accuracy(CA)for different sensor configurations using a unique set of signal *** was seen that the fusion of the EMG-Acc produced an enhancement in the CA in the range of 10%-20%,depending on which windowing parameters were *** this,it was seen that the best combination of a windowing scheme and classifier would likely be for the 350 ms and spectral regression discriminant analysis,with a fusion of the EMG-Acc *** results have thus provided evidence that the two sensors can be combined and used in practice for prosthesis *** a holistic view on the study,the authors conclude by providing a framework on how the shoulder motion recognition could be combined with neuromuscular reprogramming to contribute towards easing the cognitive burden of amputees during the prosthesis control process.