Research Progress of Rehabilitation Exoskeletal Robot and Evaluation Methodologies Based on Bioelectrical Signals
Fei Wang, Xiaotong Wei, Jiyuan Guo, Yubo Zheng, Jiaqi Li, Siyi Du
- 发表年份
- 2019
- 引用次数
- 9
摘要
With the increasing number of elderly and disabled people in China, the rehabilitation exoskeleton, which integrates sensing, control, information and mobile computing technologies, provides a comprehensive technology of wearable mechanical mechanism for the rehabilitation population. Its goal is to replace or assist rehabilitation therapists to simplify the traditional “one-to-one” arduous treatment process. This has great potential in the field of motor rehabilitation. Rehabilitation evaluation is an important part of rehabilitation medicine. It can objectively evaluate the disability level of patients and the degree of rehabilitation training. It is the basis of planning the follow-up treatment of patients. Based on the research progress of rehabilitation exoskeleton robots in recent years, this paper introduces and discusses the research progress of rehabilitation training and evaluation methodologies from EEG and EMG signals which can reflect the movement pattern and fatigue state of patients.
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