Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control:a 10-year perspective review  

作　　者：江宁 陈晨 何家源 孟建军 潘立志 苏世勇 朱向阳 Ning Jiang;Chen Chen;Jiayuan He;Jianjun Meng;Lizhi Pan;Shiyong Su;Xiangyang Zhu(National Clinical Research Center for Geriatrics,West China Hospital,and Med-X Center for Manufacturing,Sichuan University,Chengdu 610041,China;State Key Laboratory of Mechanical System and Vibration,and Institute of Robotics,Shanghai Jiao Tong University,Shanghai 200240,China;Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education,School of Mechanical Engineering,Tianjin University,Tianjin 300350,China;Institute of Neuroscience,UniversitéCatholique Louvain,Brussel B-1348,Belgium)

机构地区：[1]National Clinical Research Center for Geriatrics,West China Hospital,and Med-X Center for Manufacturing,Sichuan University,Chengdu 610041,China [2]State Key Laboratory of Mechanical System and Vibration,and Institute of Robotics,Shanghai Jiao Tong University,Shanghai 200240,China [3]Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education,School of Mechanical Engineering,Tianjin University,Tianjin 300350,China [4]Institute of Neuroscience,UniversitéCatholique Louvain,Brussel B-1348,Belgium

出　　处：《National Science Review》2023年第5期32-52,共21页国家科学评论（英文版）

基　　金：supported by the 1.3.5 project for Disciplines of Excellence Grant from West China Hospital(ZYYC22001);a Key Research Project grant from the National Clinical Research Center for Geriatrics(WCH)(Z2023YY001);three grants(91948302,52175023 and 52005364)from the National Natural Science Foundation of China。

摘　　要：A decade ago,a group of researchers from academia and industry identified a dichotomy between the industrial and academic state-of-the-art in upper-limb prosthesis control,a widely used bio-robotics application.They proposed that four key technical challenges,if addressed,could bridge this gap and translate academic research into clinically and commercially viable products.These challenges are unintuitive control schemes,lack of sensory feedback,poor robustness and single sensor modality.Here,we provide a perspective review on the research effort that occurred in the last decade,aiming at addressing these challenges.In addition,we discuss three research areas essential to the recent development in upper-limb prosthetic control research but were not envisioned in the review 10 years ago:deep learning methods,surface electromyogram decomposition and open-source databases.To conclude the review,we provide an outlook into the near future of the research and development in upper-limb prosthetic control and beyond.

关 键 词：ELECTROMYOGRAPHY prosthetic control sensory feedback EMG decomposition robustness deeplearning 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置] TN911.7[自动化与计算机技术—控制科学与工程] R318[电子电信—通信与信息系统]