Development and Control of Hand Exoskeleton System Using Intended Movement

Hand motor impairment is a common disability among stroke survivors that severely affect their ability in activities of daily livings (ADLs), reducing independence and quality of life. Throughout the rehabilitation process, stroke patients able to regain partially or fully the hand motor function. However, the conventional rehabilitation process is limited by the insufficient number of therapists, labor-intensiveness, and low compliance. The objective of this study was to support the rehabilitation process and ADLs through the development of the Flexible Linkage Hand Exoskeleton Rehabilitation Robot (FLEXOR), a five fingers 3D printed prototype actuated by linear actuators. FLEXOR was controlled using intended movement to support the independent exercises and to assist the ADLs movement. An Arduino-based control system driven by electromyography (EMG) signal was developed for FLEXOR. The new control system protected the hand against over-flexing and excessive application of force. The control system was programmed into three different operating modes which enable FLEXOR to provide passive exercises to the fingers, assist fingers in ADLs movement with minimal efforts, and provide active exercises while assisting fingers in ADLs.

[1]  Adel Al-Jumaily,et al.  CHAD: Compact Hand-Assistive Device for enhancement of function in hand impairments , 2021, Robotics Auton. Syst..

[2]  Qing Luo,et al.  Hand-assisted rehabilitation robot based on human-machine master-slave motion mode , 2020, 2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC).

[3]  Haruhisa Kawasaki,et al.  Humanoid Robot Hand and its Applied Research , 2019, J. Robotics Mechatronics.

[4]  Will Po-Yan Lai,et al.  Translation of robot-assisted rehabilitation to clinical service: a comparison of the rehabilitation effectiveness of EMG-driven robot hand assisted upper limb training in practical clinical service and in clinical trial with laboratory configuration for chronic stroke , 2018, Biomedical engineering online.

[5]  Yoshiyuki Sankai,et al.  An ultra-multijointed assistive robot finger , 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[6]  Marcia K. O'Malley,et al.  Design of an assistive, glove-based exoskeleton , 2017, 2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob).

[7]  Zainal Arifin,et al.  Development of low cost supernumerary robotic fingers as an assistive device , 2017, 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).

[8]  Rahsaan J. Holley,et al.  Development and pilot testing of HEXORR: Hand EXOskeleton Rehabilitation Robot , 2010, Journal of NeuroEngineering and Rehabilitation.