E Glove Evaluation & Training System Based on ARAT and Fusion of Visual and Tactile Information
10.3969/j.issn.1671-7104.2017.04.003
- VernacularTitle:基于ARAT与视触融合的E手套康复评估与训练系统
- Author:
Yu LI
1
;
Cuilian ZHAO
;
Senjie FEI
;
Linhui LUO
Author Information
1. 上海大学机电工程与自动化学院 上海市智能制造及机器人重点实验室
- Keywords:
upper limb action research test theory;
hand function;
evaluation;
visual;
tactile;
data glove
- From:
Chinese Journal of Medical Instrumentation
2017;41(4):244-247
- CountryChina
- Language:Chinese
-
Abstract:
Aiming to solve the problem of complex structure, low flexibility and practicability for a wearable sensing data glove device of hand function evaluation system, this paper presented a wearable pressure-sensing data glove device based on visual and tactile fusion, which can stimulate the active motor function of patients. Firstly, it introduced the upper limb action research test theory, the basic test flow and the grading rules that used to evaluate the hand function. Secondly, it described the processing flow of visual and tactile information, and the hand function evaluation test method of visual and tactile fusion, which was used to achieve digital score and evaluation of the patient training process. Finally, ten patients with stroke were enrolled into the EGET system for hand function test and evaluation. The results were compared with the doctors'. The maximum relative error is 8%, and the average relative error is 4%, which means that EGET system can achieve the expected goal.
