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Authors: Jinhua She 1 ; Fajian Wu 2 ; Hiroshi Hashimoto 3 ; Toshihiro Mita 2 and Min Wu 4

Affiliations: 1 Graduate School of Tokyo University of Technology, China University of Geosciences and Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Japan ; 2 Graduate School of Tokyo University of Technology, Japan ; 3 Advanced Institute of Industrial Technology, Japan ; 4 China University of Geosciences and Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, China

Keyword(s): Bilateral Asymmetry, Lower Limb, Human Adaptation, Pedaling, Medical Rehabilitation.

Abstract: Most commercially available rehabilitation machines are bilateral symmetric. This makes it difficult to use for people with lower-limb injuries. This paper explains the design of a bilaterally asymmetric pedaling machine and its measuring system to solve this problem. Pedaling angles, strokes, and force of this machine can easily be adjusted independently for the left and right legs. Pedaling force and strokes, heart rate, and electromyogram (EMS) signals of walking muscles are recorded using a measuring system. This ensures the interaction between lower-limb exercises, and the computer-based supervision and control of medical rehabilitation. A prototype of a half model of the machine was built. Preliminary tests for the basic functions were carried out and demonstrated the validity of the machine and the measuring system.

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Paper citation in several formats:
She, J.; Wu, F.; Hashimoto, H.; Mita, T. and Wu, M. (2017). Design of a Bilaterally Asymmetric Pedaling Machine and its Measuring System for Medical Rehabilitation. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - HUCAPP; ISBN 978-989-758-229-5; ISSN 2184-4321, SciTePress, pages 122-127. DOI: 10.5220/0006215101220127

@conference{hucapp17,
author={Jinhua She. and Fajian Wu. and Hiroshi Hashimoto. and Toshihiro Mita. and Min Wu.},
title={Design of a Bilaterally Asymmetric Pedaling Machine and its Measuring System for Medical Rehabilitation},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - HUCAPP},
year={2017},
pages={122-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006215101220127},
isbn={978-989-758-229-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - HUCAPP
TI - Design of a Bilaterally Asymmetric Pedaling Machine and its Measuring System for Medical Rehabilitation
SN - 978-989-758-229-5
IS - 2184-4321
AU - She, J.
AU - Wu, F.
AU - Hashimoto, H.
AU - Mita, T.
AU - Wu, M.
PY - 2017
SP - 122
EP - 127
DO - 10.5220/0006215101220127
PB - SciTePress

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