Assessment of an ICA-based noise reduction method for multi-channel auditory evoked potentials
Siavash Mirahmadizoghi, Steven L. Bell, David Martin Simpson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
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.