Design of a robotic rehabilitation system for mild cognitive impairment based on computer vision

被引：2

作者：

Chen, Hao-Dong ^{[1
,2
]}

Zhu, Hongbo ^{[3
]}

Teng, Zhiqiang ^{[1
]}

Zhao, Ping ^{[1
]}

机构：

[1] School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui,230009, China

[2] Department of Mechanical Engineering and Aeraspace, Missouri University of Science and Technology, Rolla,MO,65409, United States

[3] Department of Mechanical Engineering, Columbia University, New York,NY,10027, United States

来源：

Journal of Engineering and Science in Medical Diagnostics and Therapy | 2020年 / 3卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Robotic arms - Visual communication - Patient treatment - Visual servoing - Computer vision - Graphical user interfaces;

D O I：

10.1115/1.4046396

中图分类号：

学科分类号：

摘要：

This paper develops a robotic cognitive rehabilitation therapy (CRT) system to assist patients with mild cognitive impairment (MCI) in block design test (BDT) rehabilitation training. This system bridges the treatment gap that occurs when one physician has several patients to attend to. One physician can setup the BDT training task and simultaneously monitor the training progress of several patients with MCI, which forms an effective one-to-many rehabilitation model. A target information acquisition method is designed to realize target detection and position extraction in automatic rehabilitation. Two graphic user interfaces (GUIs) are developed to provide intuitive control and immediate visual feedback. Different BDTs are selected from the benchmark by the physician in an integrated GUI (I-GUI) and are assigned to several patient GUIs (P-GUIs), respectively. During training, automatic visual assistance can be triggered by the help button and the patients can be guided in finding the target block. Additionally, a robotic arm could be engaged to further help with teaching so that patients can follow the instructions given by the P-GUI and imitate the demonstration given by the robot arm to finish the training task. This system converts traditional MCI rehabilitation into an automatic process, creating an effective model of BDT training for MCI rehabilitation. Copyright © 2020 by ASME

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