An efficient approach for automatic removal of ocular artifacts from multichannel EEG data

Muhammad Tahir Akhtar; Wataru Mitsuhashi; Christopher J. James

An efficient approach for automatic removal of ocular artifacts from multichannel EEG data

Muhammad Tahir Akhtar, Wataru Mitsuhashi, Christopher J. James

Department of Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper proposes an efficient approach, based on independent component analysis (ICA) and wavelet denoising (WD), for automatic removal of ocular artifacts from EEG data. In the proposed approach, we employ the concept of spatially constrained ICA (SCICA) to extract artifact-only independent components (ICs) from the EEG data, use WD to remove any cerebral activity from extracted ICs to obtain artifact-only components, and finally project back the artifacts to be subtracted from EEG signals to get clean EEG data. The main advantage of the proposed approach is faster computation, as it is not necessary to identify all ICs. Computer experiments are carried out for long term EEG, which demonstrate the effectiveness of the proposed approach.

Original language	English
Pages	927-930
Number of pages	4
Publication status	Published - Dec 1 2010
Event	2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 - Biopolis, Singapore Duration: Dec 14 2010 → Dec 17 2010

Conference

Conference	2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010
Country	Singapore
City	Biopolis
Period	12/14/10 → 12/17/10

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

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An efficient approach for automatic removal of ocular artifacts from multichannel EEG data. / Akhtar, Muhammad Tahir; Mitsuhashi, Wataru; James, Christopher J.

2010. 927-930 Paper presented at 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010, Biopolis, Singapore.

Research output: Contribution to conference › Paper › peer-review

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