Selecting Training method of a rehabilitation robot Based on fuzzy comprehensive evaluation
- 10.2991/icmeme-16.2016.40How to use a DOI?
- rehabilitation robot; training mode; fuzzy comprehensive evaluation
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.
- © 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/).
Cite this article
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 -