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Using ERPs for assessing the (sub) conscious perception of noise

: Porbadnigk, A.K.; Antons, J.-N.; Blankertz, B.; Treder, M.S.; Schleicher, R.; Möller, S.; Curio, G.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Engineering in Medicine and Biology Society -EMBS-:
32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2010 : August 31 - September 4, 2010. Sheraton Hotel, Buenos Aires, Argentina
New York, NY: IEEE, 2010
ISBN: 978-1-4244-4123-5 (Print)
ISBN: 978-4244-4124-2 (Online)
Engineering in Medicine and Biology Society (EMBS International Conference) <32, 2010, Buenos Aires>
Conference Paper
Fraunhofer FIRST ()

In this paper, we investigate the use of eventrelated potentials (ERPs) as a quantitative measure for quality assessment of disturbed audio signals. For this purpose, we ran an EEG study (N=11) using an oddball paradigm, during which subjects were presented with the phoneme/a/, superimposed with varying degrees of signal-correlated noise. Based on this data set, we address the question to which degree the degradation of the auditory stimuli is reflected on a neural level, even if the disturbance is below the threshold of conscious perception. For those stimuli that are consciously recognized as being disturbed, we suggest the use of the amplitude and latency of the P300 component for assessing the level of disturbance. For disturbed stimuli for which the noise is not perceived consciously, we show for two subjects that a classifier based on shrinkage LDA can be applied successfully to single out stimuli, for which the noise was presumably processed subconsciously.