Power-free knee rehabilitation robot for home-based isokinetic training

Y Yanggang Feng H Haoyang Wu (Institute for Advanced Materials and Technology) J Jiaxin Ren W Wuxiang Zhang X Xiu Jia X Xiuhua Liu X Xingyu Hu (School of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study) H Haoxiang Jing Y Yuebing Li Y Yuhang Zhao Z Ziyan Wang X Xuzhou Lang J Junjia Xu Y Yixin Shao Q Qi Su Y Yuanmingfei Zhang M Mouwang Zhou K Ke Liu Y Yong Nie (Institute for Smart Materials & Engineering) J Jian Wang F Fuzhen Yuan L Liu Wang (College of Chemistry and Environmental Engineering) X Xilun Ding

Abstract

Abstract Robot-assisted isokinetic training has been widely adopted for knee rehabilitation. However, existing rehabilitation facilities are often heavy, bulky, and extremely energy-consuming, which limits the rehabilitation opportunities only at designated hospitals. In this study, we introduce a highly integrated and lightweight (52 kg) knee rehabilitation robot that can provide home-based isokinetic training without external power. By integrating a motor, torque/angle sensors, control circuit, and energy regeneration circuit into a single driver module, our robot can provide power-free isokinetic training by recycling mechanical work from the trainee. Ten postsurgical subjects were involved in an interventional randomized trial (ChiCTR2300076715, Part I) and the cross-sectional area of trained legs (experimental group) was significantly higher than that of untrained legs (control group). The primary outcomes, muscle growth (quadriceps: 5.93%, hamstrings: 10.27%) and strength improvements (quadriceps: 70%, hamstrings: 84%), achieved with our robots surpass those of existing commercial rehabilitation devices. These findings indicate that our robot presents a viable option for home-based knee rehabilitation, significantly enhancing the accessibility of effective treatment.

Article Details

Volume / Issue Vol. 16, Issue 1
Published March 08, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (23)

Y

Yanggang Feng

H

Haoyang Wu

Institute for Advanced Materials and Technology

J

Jiaxin Ren

W

Wuxiang Zhang

X

Xiu Jia

X

Xiuhua Liu

X

Xingyu Hu

School of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study

H

Haoxiang Jing

Y

Yuebing Li

Y

Yuhang Zhao

Z

Ziyan Wang

X

Xuzhou Lang

J

Junjia Xu

Y

Yixin Shao

Q

Qi Su

Y

Yuanmingfei Zhang

M

Mouwang Zhou

K

Ke Liu

Y

Yong Nie

Institute for Smart Materials & Engineering

J

Jian Wang

F

Fuzhen Yuan

L

Liu Wang

College of Chemistry and Environmental Engineering

X

Xilun Ding