Active and Progressive Exoskeleton Rehabilitation Using Multisource Information Fusion From EMG and Force-Position EPP

被引:63
作者
Fan, Yuanjie [1 ]
Yin, Yuehong [1 ]
机构
[1] Shanghai Jiao Tong Univ, Inst Robot, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Extended physiological proprioception (EPP) feedback; exoskeleton robot; multisource information fusion; personalized rehabilitation; real-time evaluation; SPINAL-CORD; NEURAL-NETWORK; STROKE; SYSTEM; INJURY;
D O I
10.1109/TBME.2013.2267741
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Although exoskeletons have received enormous attention and have been widely used in gait training and walking assistance in recent years, few reports addressed their application during early poststroke rehabilitation. This paper presents a healthcare technology for active and progressive early rehabilitation using multisource information fusion from surface electromyography and force-position extended physiological proprioception. The active-compliance control based on interaction force between patient and exoskeleton is applied to accelerate the recovery of the neuromuscular function, whereby progressive treatment through timely evaluation contributes to an effective and appropriate physical rehabilitation. Moreover, a clinic-oriented rehabilitation system, wherein a lower extremity exoskeleton with active compliance is mounted on a standing bed, is designed to ensure comfortable and secure rehabilitation according to the structure and control requirements. Preliminary experiments and clinical trial demonstrate valuable information on the feasibility, safety, and effectiveness of the progressive exoskeleton-assisted training.
引用
收藏
页码:3314 / 3321
页数:8
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