Personalized and Safe Soft Glove for Rehabilitation Training

Author:

Meng Fanye1,Liu Chang2,Li Yu1,Hao Hao1,Li Qishen2,Lyu Chenyi2,Wang Zimo2,Ge Gang3ORCID,Yin Junyi4ORCID,Ji Xiaoqiang1,Xiao Xiao34ORCID

Affiliation:

1. School of Life Science and Technology, Changchun University of Science and Technology, Changchun 130022, China

2. Department of Materials Science and Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore

3. Department of Electrical and Computer Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore

4. Department of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095, USA

Abstract

Traditional hand rehabilitation devices present a challenge in providing personalized training that can lead to finger movements exceeding the safe range, resulting in secondary injuries. To address this issue, we introduce a soft rehabilitation training glove with the function of safety and personalization, which can allow patients to select training modes based on rehabilitation and provide real-time monitoring, as well as feedback on finger movement data. The inner glove is equipped with bending sensors to access the maximum/minimum angle of finger movement and to provide data for the safety of rehabilitation training. The outer glove contains flexible drivers, which can drive fingers for different modes of rehabilitation training. As a result, the rehabilitation glove can drive five fingers to achieve maximum extension/flexion angles of 15.65°/85.97°, 15.34°/89.53°, 16.78°/94.27°, 15.59°/88.82°, and 16.73°/88.65°, from thumb to little finger, respectively, and the rehabilitation training frequency can reach six times per minute. The safety evaluation result indicated an error within ±6.5° of the target-motion threshold. The reliability assessment yielded a high-intra-class correlation coefficient value (0.7763–0.9996). Hence, the rehabilitation glove can achieve targeted improvement in hand function while ensuring safety.

Funder

Science and Technology Development Plan Project of Jilin Province

National Research Foundation, Singapore

A*STAR under its RIE2020 Industry Alignment Fund—Industry Collaboration Projects

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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