Robotic finger rehabilitation system for stroke patient using surface EMG armband

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PublisherIEEE Computer Society
Pages785-790
Number of pages6
ISBN (Electronic)9781509034741
DOIs
Publication statusPublished - 2016 Dec 21
Event42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
Duration: 2016 Oct 242016 Oct 27

Other

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Robotic finger rehabilitation system for stroke patient using surface EMG armband'. Together they form a unique fingerprint.

  • Cite this

    Oboe, R., Tonin, A., Yu, K., Ohnishi, K., & Turolla, A. (2016). Robotic finger rehabilitation system for stroke patient using surface EMG armband. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 785-790). [7793467] IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793467