Hölle, Daniel and Blum, Sarah and Kissner, Sven and Debener, Stefan and Bleichner, Martin G. (2022) Real-Time Audio Processing of Real-Life Soundscapes for EEG Analysis: ERPs Based on Natural Sound Onsets. Frontiers in Neuroergonomics, 3. ISSN 2673-6195

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Abstract

With smartphone-based mobile electroencephalography (EEG), we can investigate sound perception beyond the lab. To understand sound perception in the real world, we need to relate naturally occurring sounds to EEG data. For this, EEG and audio information need to be synchronized precisely, only then it is possible to capture fast and transient evoked neural responses and relate them to individual sounds. We have developed Android applications (AFEx and Record-a) that allow for the concurrent acquisition of EEG data and audio features, i.e., sound onsets, average signal power (RMS), and power spectral density (PSD) on smartphone. In this paper, we evaluate these apps by computing event-related potentials (ERPs) evoked by everyday sounds. One participant listened to piano notes (played live by a pianist) and to a home-office soundscape. Timing tests showed a stable lag and a small jitter (<3 ms) indicating a high temporal precision of the system. We calculated ERPs to sound onsets and observed the typical P1-N1-P2 complex of auditory processing. Furthermore, we show how to relate information on loudness (RMS) and spectra (PSD) to brain activity. In future studies, we can use this system to study sound processing in everyday life.

Item Type:	Article
Additional Information:	Publiziert mit Hilfe des DFG-geförderten Open Access-Publikationsfonds der Carl von Ossietzky Universität Oldenburg.
Uncontrolled Keywords:	mobile EEG, smartphone-based experimentation, auditory perception, ERP, android applications
Subjects:	Philosophy and psychology > Psychology Technology, medicine, applied sciences > Medicine and health
Divisions:	Faculty of Medicine and Health Sciences > Department of Psychology
Date Deposited:	26 Oct 2023 10:59
Last Modified:	26 Oct 2023 10:59
URI:	https://oops.uni-oldenburg.de/id/eprint/5891
URN:	urn:nbn:de:gbv:715-oops-59727
DOI:	doi:10.3389/fnrgo.2022.793061
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