文献类型：期刊文献

英文题名：Automatic Assessment of the Wrist Movement Function in a Haptic Virtual Environment for Home-Based Stroke Rahabilitation

作者：Gao, Min[1]; Zhang, Wenjun[2]; Qian, Zhiqin[1]; Chen, Ang[2]

机构：[1] Department of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China; [2] Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada

年份：2018

卷号：2018-May

外文期刊名：Canadian Conference on Electrical and Computer Engineering

收录：EI(收录号：20183905855216)

语种：英文

外文关键词：Neuromuscular rehabilitation

摘要：The functional assessment of post-stroke patients is crucial in the rehabilitation theoretical process. In the study presented in this paper, an instrument which allows the patients to perform rehabilitation exercises was developed for the functional assessment without a need of assistance of nurses. This instrument included a desk-top device along with a classifier and can be operated by the patients at home. The grade for the functionality of the limp in the context of post-stroke patients is the Brunnstrom stage assessment system that is popular in clinic. In this paper, the wrist coordination functionality of upper limb (Grade 6 in particular) was taken as an example to demonstrate the effectiveness of this instrument along with the classifier. 16 patients and 10 health persons were involved in the development of the classifier. The instrument along with the classifier was tested, and the result indicated that the instrument can achieve a high classification accuracy (98.68%), sensitivity (92.31%), specificity (100%), F-score (96%) and the area under curve (AUC) of the receiver operating characteristic (ROC) (0.99878). Therefore, the instrument along with the classifier can be used in clinic with high confidence. ? 2018 IEEE.