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Proceedings Paper

Assessment of an ICA-based noise reduction method for multi-channel auditory evoked potentials
Author(s): Siavash Mirahmadizoghi; Steven Bell; David Simpson
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Paper Abstract

In this work a new independent component analysis (ICA) based method for noise reduction in evoked potentials is evaluated on for auditory late responses (ALR) captured with a 63-channel electroencephalogram (EEG) from 10 normal-hearing subjects. The performance of the new method is compared with a single channel alternative in terms of signal to noise ratio (SNR), the number of channels with an SNR above an empirically derived statistical critical value and an estimate of hearing threshold. The results show that the multichannel signal processing method can significantly enhance the quality of the signal and also detected hearing thresholds significantly lower than with the single channel alternative.

Paper Details

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94432H (4 March 2015); doi: 10.1117/12.2179874
Show Author Affiliations
Siavash Mirahmadizoghi, Univ. of Southampton (United Kingdom)
Steven Bell, Univ. of Southampton (United Kingdom)
David Simpson, Univ. of Southampton (United Kingdom)


Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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