A reward-punishment feedback control strategy based on energy information for wrist rehabilitation

doi:10.1177/1729881420940651

CORC > 宁波材料技术与工程研究所 > 中国科学院宁波材料技术与工程研究所 > 2020专题

	A reward-punishment feedback control strategy based on energy information for wrist rehabilitation
	Wang, Jiajin; Zhang, Jiaji; Zuo, Guokun; Shi, Changcheng; Guo, Shuai
刊名	INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
	2020
卷号	17 期号:5
关键词	ROBOT STROKE
DOI	10.1177/1729881420940651
英文摘要	Based on evidence from the previous research in rehabilitation robot control strategies, we found that the common feature of the effective control strategies to promote subjects' engagement is creating a reward-punishment feedback mechanism. This article proposes a reward-punishment feedback control strategy based on energy information. Firstly, an engagement estimated approach based on energy information is developed to evaluate subjects' performance. Secondly, the estimated result forms a reward-punishment term, which is introduced into a standard model-based adaptive controller. This modified adaptive controller is capable of giving the reward-punishment feedback to subjects according to their engagement. Finally, several experiments are implemented using a wrist rehabilitation robot to evaluate the proposed control strategy with 10 healthy subjects who have not cardiovascular and cerebrovascular diseases. The results of these experiments show that the mean coefficient of determination (R-2) of the data obtained by the proposed approach and the classical approach is 0.7988, which illustrate the reliability of the engagement estimated approach based on energy information. And the results also demonstrate that the proposed controller has great potential to promote patients' engagement for wrist rehabilitation.
学科主题	Robotics
内容类型	期刊论文
源URL	[http://ir.nimte.ac.cn/handle/174433/20529]
专题	2020专题
作者单位	Zhang, JJ (corresponding author), Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, Ningbo 315201, Zhejiang, Peoples R China.
推荐引用方式 GB/T 7714	Wang, Jiajin,Zhang, Jiaji,Zuo, Guokun,et al. A reward-punishment feedback control strategy based on energy information for wrist rehabilitation[J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,2020,17(5).
APA	Wang, Jiajin,Zhang, Jiaji,Zuo, Guokun,Shi, Changcheng,&Guo, Shuai.(2020).A reward-punishment feedback control strategy based on energy information for wrist rehabilitation.INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,17(5).
MLA	Wang, Jiajin,et al."A reward-punishment feedback control strategy based on energy information for wrist rehabilitation".INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 17.5(2020).