Portable and Reconfigurable Wrist Robot Improves Hand Function for Post-Stroke Subjects.

Journal: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
PMID:

Abstract

Rehabilitation robots have become increasingly popular for stroke rehabilitation. However, the high cost of robots hampers their implementation on a large scale. This paper implements the concept of a modular and reconfigurable robot, reducing its cost and size by adopting different therapeutic end effectors for different training movements using a single robot. The challenge is to increase the robot's portability and identify appropriate kinds of modular tools and configurations. Because literature on the effectiveness of this kind of rehabilitation robot is still scarce, this paper presents the design of a portable and reconfigurable rehabilitation robot and describes its use with a group of post-stroke patients for wrist and forearm training. Seven stroke subjects received training using a reconfigurable robot for 30 sessions, lasting 30 min per session. Post-training, statistical analysis showed significant improvement of 3.29 points (16.20%, p = 0.027) on the Fugl-Meyer assessment scale for forearm and wrist components. Significant improvement of active range of motion was detected in both pronation-supination (75.59%, p = 0.018) and wrist flexion-extension (56.12%, p = 0.018) after the training. These preliminary results demonstrate that the developed reconfigurable robot could improve subjects' wrist and forearm movement.

Authors

  • Kang Xiang Khor
    Malaysian-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, 54100, Kuala Lumpur, Malaysia. E-mail: xiangkk@gmail.com.
  • Patrick Jun Hua Chin
  • Che Fai Yeong
    Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia.
  • Eileen Lee Ming Su
    Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia.
  • Aqilah Leela T Narayanan
    IJN-UTM Cardiovascular Engineering Center, Faculty of Biosciences & Medical Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia. E-mail: aqilah@biomedical.utm.my.
  • Hisyam Abdul Rahman
    Department of Mechatronic and Robotic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Johor, Malaysia. E-mail: arhisyam@uthm.edu.my.
  • Qamer Iqbal Khan