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- TAN Chun Kwang
- Artificial Intelligence Laboratory, Tsukuba University
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- KADONE Hideki
- Center for Cybernics Research, University of Tsukuba
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- WATANABE Hiroki
- Faculty of Medicine, University of Tsukuba
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- MARUSHIMA Aiki
- Faculty of Medicine, University of Tsukuba
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- HADA Yasushi
- Faculty of Medicine, University of Tsukuba
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- YAMAZAKI Masashi
- Faculty of Medicine, University of Tsukuba
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- SANKAI Yoshiyuki
- Center for Cybernics Research, University of Tsukuba
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- MATSUMURA Akira
- Faculty of Medicine, University of Tsukuba
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- SUZUKI Kenji
- Center for Cybernics Research, University of Tsukuba
Bibliographic Information
- Other Title
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- Evaluating stroke patients after gait training with a bioelectrically-controlled exoskeleton
Abstract
<p>Understanding the reorganization of the central nervous system after stroke is an important endeavor in order to design new therapies in gait training for stroke patients. Current clinical evaluation scores and gait velocity are insufficient to describe the state of the nervous system, and one aspect where this is lacking is in the quantification of gait symmetry. We propose the use of muscle synergy analysis to quantify gait symmetry to solve this gap in knowledge. Results have revealed mechanisms of gait symmetry which could otherwise be difficult to observe with clinical scores. Furthermore, robotic gait training appears to provide an advantage over conventional gait training in restoring symmetrical neuromuscular control.</p>
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (0), 2A1-I05-, 2020
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1391693801405369728
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- NII Article ID
- 130007943876
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- ISSN
- 24243124
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed