Selecting Training method of a rehabilitation robot Based on fuzzy comprehensive evaluation

DOI

10.2991/icmeme-16.2016.40How to use a DOI?

Keywords

rehabilitation robot; training mode; fuzzy comprehensive evaluation

Abstract

Gait training is an important part of robotic gait rehabilitation, which is helpful to provide consistent, adjustable physical therapy comparing with traditional manual training. However the selection training mode has become a problem. In order to solve the selection problem of training mode of a lower limb rehabilitation robot, this paper puts forward a method which is based on fuzzy comprehensive evaluation. Firstly, this paper establishes the evaluation model which includes selecting five evaluation indicators, establishing evaluation set, fuzzy evaluation matrix and determining the weight of factors. On the basis, the numerical example is given at the end of this section to illustrate the feasibility of the methodology. The results show that the method is reasonable and effective.

Copyright

© 2016, 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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TY  - CONF
AU  - Lei Chen
AU  - Changniu Yang
AU  - Wenquan Huang
AU  - Zegang Sun
AU  - Yucong Liu
PY  - 2016/12
DA  - 2016/12
TI  - Selecting Training method of a rehabilitation robot Based on fuzzy comprehensive evaluation
BT  - Proceedings of the 5th International Conference on Mechanical Engineering, Materials and Energy (5th ICMEME2016)
PB  - Atlantis Press
SP  - 213
EP  - 218
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeme-16.2016.40
DO  - 10.2991/icmeme-16.2016.40
ID  - Chen2016/12
ER  -