Design of a Bilaterally Asymmetric Pedaling Machine and its Measuring System for Medical Rehabilitation

Jinhua She, Fajian Wu, Hiroshi Hashimoto, Toshihiro Mita, Min Wu

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 Harvard Style

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 - Volume 2: HUCAPP, (VISIGRAPP 2017) ISBN 978-989-758-229-5, pages 122-127. DOI: 10.5220/0006215101220127


in Bibtex Style

@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 - Volume 2: HUCAPP, (VISIGRAPP 2017)},
year={2017},
pages={122-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006215101220127},
isbn={978-989-758-229-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, (VISIGRAPP 2017)
TI - Design of a Bilaterally Asymmetric Pedaling Machine and its Measuring System for Medical Rehabilitation
SN - 978-989-758-229-5
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