4.6 Article

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

期刊

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
卷 60, 期 12, 页码 3314-3321

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2013.2267741

关键词

Extended physiological proprioception (EPP) feedback; exoskeleton robot; multisource information fusion; personalized rehabilitation; real-time evaluation

资金

  1. National Basic Research Program of China [2011CB013203]
  2. National Natural Science Foundation of China [61075101]
  3. Science and Technology Intercrossing Research Foundation, Shanghai Jiao Tong University [LG2011ZD106]

向作者/读者索取更多资源

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.

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