文献类型：期刊文献

英文题名：Objective Assessment of the Wrist Function Loss of Post-Stroke Patients in Haptic Virtual Environment based on Neural Network and Support Vector Machine

作者：Chen, Pan[1]; Qian, Zhiqin[1]; Song, Ziye[1]; Yang, Chun[2]; Zhang, Wenjun[2]

机构：[1] East China University of Science and Technology, Complex and Intelligent System Research Laboratory [CISRL], Shanghai, China; [2] University of Saskatchewan, Department of Mechanical Engineering, Saskatoon, Canada

年份：2022

起止页码：106

外文期刊名：2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022

收录：EI(收录号：20223512649334)

语种：英文

外文关键词：Neural networks - Patient rehabilitation - Virtual reality

摘要：Stroke is a brain neurological disorder that usually results in the impairment of the patient's neural system for performing various functions (e.g., limp function). Rehabilitation is an effective way to recover impaired functions. In the home-based rehabilitation approach, there is a need to assess the impairment of functions of patients at home. A haptic virtual environment system makes this approach possible due to its portability and simplicity. With this system, the patient performs tasks on the system, and the patient's task performance represents the impairment of functions. This paper presents the work of implementation of this approach. This approach includes the design of tasks which the patient performs and the development of classifiers using the machine learning techniques such as neural network (NN) and support vector machine (SVM). In this study, the wrist dysfunction was taken as an example. The experiment was conducted, which demonstrates the effectiveness of the approach. ? 2022 IEEE.