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

Zong Han Hsieh; Wai-Chi  Fang; Tzyy Ping Jung

doi:10.1109/ICCE.2012.6161895

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 proceeding › Conference contribution › peer-review

2 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 language	English
Title of host publication	2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Pages	339-340
Number of pages	2
DOIs	https://doi.org/10.1109/ICCE.2012.6161895
State	Published - 29 Mar 2012
Event	2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States Duration: 13 Jan 2012 → 16 Jan 2012

Publication series

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

Conference

Conference	2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Country/Territory	United States
City	Las Vegas, NV
Period	13/01/12 → 16/01/12

Keywords

Brain Computer Interface
Independent Component Analysis

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10.1109/ICCE.2012.6161895

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Hsieh, Z. H., Fang, W-C., & Jung, T. P. (2012). A brain-computer interface with real-time independent component analysis for biomedical applications. In 2012 IEEE International Conference on Consumer Electronics, ICCE 2012 (pp. 339-340). Article 6161895 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). https://doi.org/10.1109/ICCE.2012.6161895

@inproceedings{42dcc29452f643c88bff164eec8b8edb,

title = "A brain-computer interface with real-time independent component analysis for biomedical applications",

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.",

keywords = "Brain Computer Interface, Independent Component Analysis",

author = "Hsieh, {Zong Han} and Wai-Chi Fang and Jung, {Tzyy Ping}",

year = "2012",

month = mar,

day = "29",

doi = "10.1109/ICCE.2012.6161895",

language = "English",

isbn = "9781457702310",

series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

pages = "339--340",

booktitle = "2012 IEEE International Conference on Consumer Electronics, ICCE 2012",

note = "2012 IEEE International Conference on Consumer Electronics, ICCE 2012 ; Conference date: 13-01-2012 Through 16-01-2012",

}

Hsieh, ZH, Fang, W-C & Jung, TP 2012, A brain-computer interface with real-time independent component analysis for biomedical applications. in 2012 IEEE International Conference on Consumer Electronics, ICCE 2012., 6161895, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, pp. 339-340, 2012 IEEE International Conference on Consumer Electronics, ICCE 2012, Las Vegas, NV, United States, 13/01/12. https://doi.org/10.1109/ICCE.2012.6161895

A brain-computer interface with real-time independent component analysis for biomedical applications. / Hsieh, Zong Han; Fang, Wai-Chi ; Jung, Tzyy Ping.
2012 IEEE International Conference on Consumer Electronics, ICCE 2012. 2012. p. 339-340 6161895 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A brain-computer interface with real-time independent component analysis for biomedical applications

AU - Hsieh, Zong Han

AU - Fang, Wai-Chi

AU - Jung, Tzyy Ping

PY - 2012/3/29

Y1 - 2012/3/29

N2 - 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.

AB - 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.

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KW - Independent Component Analysis

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DO - 10.1109/ICCE.2012.6161895

M3 - Conference contribution

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SN - 9781457702310

T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

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BT - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012

T2 - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012

Y2 - 13 January 2012 through 16 January 2012

ER -

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

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Keywords

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