A brain-computer interface with real-time independent component analysis for biomedical applications

Zong Han Hsieh*, Wai-Chi  Fang, Tzyy Ping Jung

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper presents a brain-computer interface with real-time independent component analysis for biomedical applications. EEG-based BCI technology using cell-phone and Bluetooth transmission of bio-signals has been established in previous studies, and experimental results show that subjects should avoid eye blink who are under test to increase the accuracy. In order to enhance the dialing system, the authors integrate a real-time ICA chip to artifacts arising from eye blinking. The designed system enables the acquisition and subsequent ICA elaboration signals in real-time, the result shows suitable for BCI applications. The efficiency of the implemented technique has been experimentally demonstrated.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Pages339-340
Number of pages2
DOIs
StatePublished - 29 Mar 2012
Event2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States
Duration: 13 Jan 201216 Jan 2012

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Conference

Conference2012 IEEE International Conference on Consumer Electronics, ICCE 2012
CountryUnited States
CityLas Vegas, NV
Period13/01/1216/01/12

Keywords

  • Brain Computer Interface
  • Independent Component Analysis

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