Robotic finger rehabilitation system for stroke patient using surface EMG armband

Roberto Oboe, Alessandro Tonin, Koyo Yu, Kouhei Ohnishi, Andrea Turolla

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Several technological solutions have ben recently proposed for fingers rehabilitation in patients who were affected by a stroke, in particular for those who cannot generate the finger force but with preserved sEMG signals. In fact, a very promising approach uses a robot rehabilitation system controlled through sEMG signals. However, this system has two main problems: 1) the placement of electrodes is made manually and this could bring to a non-optimal detection of signals; 2) the cost of treatments is very high, mainly due to the usage of single-use, dispodsable electrodes. Our proposal is to use a robot rehabilitation system with a low-cost armband instead of standard electrodes. The armband has 8 sEMG sensors and a 9-DoF inertial sensor, it has electrically safe setup with low voltage battery and Bluetooth protocol. Moreover it is a very low cost and reusable equipment. The validity of the proposal was confirmed through experiments.

本文言語English
ホスト出版物のタイトルProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
出版社IEEE Computer Society
ページ785-790
ページ数6
ISBN(電子版)9781509034741
DOI
出版ステータスPublished - 2016 12月 21
イベント42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
継続期間: 2016 10月 242016 10月 27

出版物シリーズ

名前IECON Proceedings (Industrial Electronics Conference)

Other

Other42nd Conference of the Industrial Electronics Society, IECON 2016
国/地域Italy
CityFlorence
Period16/10/2416/10/27

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 電子工学および電気工学

フィンガープリント

「Robotic finger rehabilitation system for stroke patient using surface EMG armband」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル