Assessment of an ICA-based noise reduction method for multi-channel auditory evoked potentials

Siavash Mirahmadizoghi; Steven Bell; David Simpson

doi:10.1117/12.2179874

4 March 2015 Assessment of an ICA-based noise reduction method for multi-channel auditory evoked potentials

Siavash Mirahmadizoghi, Steven Bell, David Simpson

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94432H (2015) https://doi.org/10.1117/12.2179874
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

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.

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Siavash Mirahmadizoghi, Steven Bell, and David Simpson "Assessment of an ICA-based noise reduction method for multi-channel auditory evoked potentials", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94432H (4 March 2015); https://doi.org/10.1117/12.2179874

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KEYWORDS

Signal to noise ratio

Electroencephalography

Independent component analysis

Microchannel plates

Denoising

Signal detection

Signal processing

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