dc.contributor.author | Eqlimi, E | |
dc.contributor.author | Bockstael, A | |
dc.contributor.author | de Coensel, B | |
dc.contributor.author | Botteldooren, D | |
dc.date.accessioned | 2021-02-26T01:45:53Z | |
dc.date.available | 2021-02-26T01:45:53Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 9783939296157 | |
dc.identifier.issn | 2226-7808 | |
dc.identifier.doi | 10.18154/RWTH-CONV-239618 | |
dc.identifier.uri | http://hdl.handle.net/10072/402642 | |
dc.description.abstract | The human brain is remarkably capable of perceiving relevant sounds in noisy environments but the underlying interplay of neurophysiology and acoustics is still being investigated. Cortical processing of these sounds in the brain depends on attentional demand. One of the most important issues is how to identify whether a person is paying attention to the relevant sounds or not. The aim of this study was to explore the potential of single-trial electroencephalography (EEG) indicators to distinguish the cortical representation of three sequential tasks — attentive listening to lectures in background noise, attentive and inattentive listening to background noise alone. Three types of environmental noise, including multi-talker babble, fluctuating traffic and highway sounds were employed as the background during the first task and the stimulus during the second and third tasks. 23 healthy volunteers were exposed to these three tasks while 64-channels EEG signals were recorded. Alpha-band spectral characteristics (peak frequency and power) were investigated as potential indicators of attention and cortical inhibition. Furthermore, based on the hypothesis of self-similarity as excitation-inhibition balance, long-range temporal correlation of alpha-band activity was quantified based on detrended fluctuation analysis. Finally, the hypothesis of speech envelope entrainment of brain activity motivated to estimate the delta absolute power for investigating the attended sound. Considering the participant as a random factor, a linear mixed-effect regression was employed to model the estimated indicators as a function of listening task, EEG channel cluster, and background noise. Strong significant differences were found that support our hypotheses that auditory attention to speech can be observed via EEG-indicators. | |
dc.description.peerreviewed | Yes | |
dc.relation.ispartofconferencename | 23rd International Congress on Acoustics (ICA 2019) | |
dc.relation.ispartofconferencetitle | Proceedings of the 23rd International Congress on Acoustics | |
dc.relation.ispartofdatefrom | 2019-09-09 | |
dc.relation.ispartofdateto | 2019-09-13 | |
dc.relation.ispartoflocation | Aachen, Germany | |
dc.relation.ispartofpagefrom | 7631 | |
dc.relation.ispartofpageto | 7638 | |
dc.subject.fieldofresearch | Environmental management | |
dc.subject.fieldofresearch | Pollution and contamination | |
dc.subject.fieldofresearchcode | 4104 | |
dc.subject.fieldofresearchcode | 4105 | |
dc.title | Evaluating potential EEG-indicators for auditory attention to speech in realistic environmental noise | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dcterms.bibliographicCitation | Eqlimi, E; Bockstael, A; de Coensel, B; Botteldooren, D, Evaluating potential EEG-indicators for auditory attention to speech in realistic environmental noise, Proceedings of the International Congress on Acoustics, 2019, 2019-September, pp. 7631-7638 | |
dcterms.license | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.date.updated | 2021-02-26T01:41:59Z | |
dc.description.version | Version of Record (VoR) | |
gro.rights.copyright | © The Author(s) 2019. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited. If you alter, transform, or build upon this work, you may distribute the resulting work only under a licence identical to this one. | |
gro.hasfulltext | Full Text | |
gro.griffith.author | De Coensel, Bert | |