Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)

Experimental Study On Wearable Ankle Rehabilitation Device

Authors
Kai Guo, Shasha Zha, Yongfeng Liu, Bin Liu, Hongbo Yang, Zhenlan Li
Corresponding Author
Zhenlan Li
Available Online October 2019.
DOI
10.2991/mbdasm-19.2019.30How to use a DOI?
Keywords
experimental study; rehabilitation robotics; elasticity; ankle orthosis
Abstract

In this paper, the experimental platform of wearable ankle rehabilitation device is built, and the mechanical performance of the wearable ankle rehabilitation device is tested on the experimental platform. Four kinds of experiments were carried out: trajectory tracking test, step response test of moment, position frequency response test and isokinetic muscle force test. Because the traditional rehabilitation training process of ankle injury is mainly to carry out the rehabilitation training of ankle dorsiflexion/plantar flexion freedom, the experiment in this paper is mainly aimed at the dorsiflexion/toe flexion freedom of ankle rehabilitation device.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
Series
Advances in Computer Science Research
Publication Date
October 2019
ISBN
978-94-6252-811-6
ISSN
2352-538X
DOI
10.2991/mbdasm-19.2019.30How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kai Guo
AU  - Shasha Zha
AU  - Yongfeng Liu
AU  - Bin Liu
AU  - Hongbo Yang
AU  - Zhenlan Li
PY  - 2019/10
DA  - 2019/10
TI  - Experimental Study On Wearable Ankle Rehabilitation Device
BT  - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
PB  - Atlantis Press
SP  - 129
EP  - 132
SN  - 2352-538X
UR  - https://doi.org/10.2991/mbdasm-19.2019.30
DO  - 10.2991/mbdasm-19.2019.30
ID  - Guo2019/10
ER  -