Myoelectric control systems for hand rehabilitation device: a review

Publication Type:
Conference Proceeding
Citation:
International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2017, 4 pp. 104 - 109
Issue Date:
2017-09-01
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© 2018, Institute of Advanced Engineering and Science. All rights reserved. One of the challenges of the hand rehabilitation device is to create a smooth interaction between the device and user. The smooth interaction can be achieved by considering myoelectric signal generated by human's muscle. Therefore, the so-called myoelectric control system (MCS) has been developed since the 1940s. Various MCS's has been proposed, developed, tested, and implemented in various hand rehabilitation devices for different purposes. This article presents a review of MCS in the existing hand rehabilitation devices. The MCS can be grouped into main groups, the non-pattern recognition and pattern recognition ones. In term of implementation, it can be classified as MCS for prosthetic and exoskeleton hand. Main challenges for MCS today is the robustness issue that hampers the implementation of MCS on the clinical application.
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