Phantom motion intent decoding for transhumeral prosthesis control with fused neuromuscular and brain wave signals

作     者：Ejay Nsugbe Oluwarotimi Williams Samuel Mojisola Grace Asogbon Guanglin Li 

作者机构：Independent Researcher Chinese Academy of Sciences(CAS)Key Laboratory of Human-Machine Intelligence-Synergy SystemShenzhen Institutes of Advanced TechnologyShenzhenChina Shenzhen College of Advanced TechnologyUniversity of Chinese Academy of SciencesShenzhenChina 

出 版 物：《IET Cyber-Systems and Robotics》 (智能系统与机器人（英文）)

年 卷 期：2021年第3卷第1期

页      面：77-88页

核心收录：

学科分类：1002[医学-临床医学] 10[医学] 

基　　金：National Natural Science Foundation of China under Grants:#U1613222,#81850410557 The Shenzhen Science and Technology Programme:#SGLH20180625142402055 Chinese Academy of Sciences(CAS)President's International Fellowship Initiative Grant:#2019PB0036 

主　　题：anatomy fused motion 

摘      要：In recent years,the electroencephalography(EEG)brain-computer interface(BCI)has been researched in the area of upper-limb prosthesis control due to the promise of being able to record neurological signals which follow activation patterns in the cortex directly from the brain with non-invasive *** is seen as a way of bypassing the limitation posed by acquiring neuromuscular signals predominantly with electromyography(EMG)directly from the stump,which possesses residual limb anatomy *** this study,the sequential forward selection algorithm to form a 10-optimal-channel representation,alongside an extended signal feature vector was applied,to investigate the motion intent decoding performance of EMG-only,EEG-only,and a fused EMG-EEG sensing configuration for four transhumeral amputees with varying stump *** results showed a considerable improvement for the EMG-only configuration with the advanced feature vector,but only a small increase for the EEG-only,and thus a marginal improvement when information from both signals was fused *** is likely due to the EEG requiring a greater number of channels spread across the skull to provide a reliable intent *** work will now involve optimisation studies to find a greater representation of electrode representation and parsimony,to minimise the number of channels while boosting motion intent decoding accuracy.