| dc.contributor.author | Anam, Khairul | |
| dc.contributor.author | Rosyadi, Ahmad Adib | |
| dc.contributor.author | Sujanarko, Bambang | |
| dc.contributor.author | Al-Jumaily, Adel | |
| dc.date.accessioned | 2018-04-04T03:43:16Z | |
| dc.date.available | 2018-04-04T03:43:16Z | |
| dc.date.issued | 2018-04-04 | |
| dc.identifier.isbn | 978-1-5386-0548-6 | |
| dc.identifier.uri | http://repository.unej.ac.id/handle/123456789/85196 | |
| dc.description | Proceedings EECSI 2017, Yogyakarta, Indonesia, 19-21 September 2017 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | myoelectric control system | en_US |
| dc.subject | hand rehabilitation device | en_US |
| dc.title | Myoelectric control systems for hand rehabilitation device: a review | en_US |
| dc.type | Prosiding | en_US |
