Comparison about EEG signals processing in BCI applications

Giulia Cisotto, Silvano Pupolin, Francesco Piccione

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

Abstract

In the context of a Brain Computer Interface platform implemented for the arm rehabilitation of mildly impaired stroke patients, two methods of EEG signals processing are compared in terms of (i) their identification performance rate and (ii) their computational complexity with the overall goal to select the most efficient and feasible real-time procedure. An effective signal processing is, indeed, one of the most critical issue for such kind of technology which aims to establish a real-time communication between the subject's brain and a machine, i.e. a computer, a robotic arm or another device, that should implement his/her intention to move in place of his/her impaired arm.

Original languageEnglish
Title of host publication2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace and Electronic Systems, VITAE 2014 - Co-located with Global Wireless Summit
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479946266
DOIs
Publication statusPublished - 2014 Oct 22
Event2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace and Electronic Systems, VITAE 2014 - Co-located with Global Wireless Summit - Aalborg, Denmark
Duration: 2014 May 112014 May 14

Publication series

Name2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace and Electronic Systems, VITAE 2014 - Co-located with Global Wireless Summit

Other

Other2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace and Electronic Systems, VITAE 2014 - Co-located with Global Wireless Summit
CountryDenmark
CityAalborg
Period14/5/1114/5/14

Keywords

  • BCI
  • Brain Computer Interface
  • EEG
  • signal processing

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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