Integration of visual feedback system and motor current based gait rehabilitation robot for motor recovery

Quanquan Liu*, Bo Zhang, Yi Hung Liu, Yu Tsung Hsiao, Mu Der Jeng, Masakatsu G. Fujie

*この研究の対応する著者

研究成果: Conference contribution

抄録

This paper presents a visual feedback available robotic gait training system for motor recovery of hemiplegic stroke survivors. The system is composed of a treadmill consisting of two split belts, a pelvic support manipulator assisting patient's pelvic movement, and a visual interface feedbacking patient's gait phase. The split-belt treadmill allow patient to walk in different velocities between sound side and affected side legs, and detect patient's gait phase by current value of DC motor. The pelvic support manipulator provides three active actuations to assist patient's leg swinging during walk training. The virtual walking scenario gives visual feedback for patient while providing patient's gait phase calculated from motor current of the treadmill. One subject with simulated stroke participated in this study. Experiment results indicate gait phase of the virtual model can well track that of patient's walking, verify the feasibility of the proposed system to improve gait recovery during rehabilitation.

本文言語English
ホスト出版物のタイトル2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1856-1860
ページ数5
ISBN(電子版)9781509018970
DOI
出版ステータスPublished - 2017 2 6
イベント2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
継続期間: 2016 10 92016 10 12

出版物シリーズ

名前2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

Other

Other2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
国/地域Hungary
CityBudapest
Period16/10/916/10/12

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 人工知能
  • 制御と最適化
  • 人間とコンピュータの相互作用

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