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Sensory interaction and control strategy in rehabilitation robot with active training
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Science & Technology Review | 2019, 37(22) : 26 - 36
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Science & Technology Review | 2019, 37(22): 26-36
Exclusive: Rehabilitation technical aids and engineering
Sensory interaction and control strategy in rehabilitation robot with active training
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LIANG Wenyuan1, BI Sheng2
Affiliations
    1. Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing 100176, China;
    2. Rehabilitation Hospital, National Research Center for Rehabilitation Technical Aids, Beijing 100176, China
Published: 2019-11-28 doi: 10.3981/j.issn.1000-7857.2019.22.004
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At present, there is a great demand for the rehabilitation training in China. For the patients of disability, the rehabilitation training is the main way for the functional recovery. Compared to the passive training, the rehabilitation robot with active training can induce and encourage the patients to actively participate in the rehabilitation training process, and then achieve a better long-term training effect. In this paper, the rehabilitation robot with active training is presented in the following four parts:the assistive technology, the sensory interaction, the control strategy, and the development tendency. In order to make the training system comfortable for the user, the system should be designed based on the human-centered prospective. The personalized modeling with a movement intention, could improve the control accuracy in the human-machine interaction. Finally, the most important key is to induce the patients to participate in the training actively in order to improve the neural stimulation training effect.
rehabilitation robot  /  active training  /  movement intention  /  human-machine interaction  /  neural feedback stimulatio
梁文渊, 毕胜. 主动康复训练机器人的感知交互与控制策略. 科技导报, 2019 , 37 (22) : 26 -36 . DOI: 10.3981/j.issn.1000-7857.2019.22.004
LIANG Wenyuan, BI Sheng. Sensory interaction and control strategy in rehabilitation robot with active training[J]. Science & Technology Review, 2019 , 37 (22) : 26 -36 . DOI: 10.3981/j.issn.1000-7857.2019.22.004
Year 2019 volume 37 Issue 22
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doi: 10.3981/j.issn.1000-7857.2019.22.004
  • Receive Date:2019-07-02
  • Online Date:2019-11-30
  • Published:2019-11-28
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  • Received:2019-07-02
  • Revised:2019-09-27
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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