Directed information measures for assessing perceived audio quality using EEG

We exploit directed information to examine the causal relationship between EEG data in response to audio stimulus. Specifically, we conduct experiments wherein the EEG activity of subjects is recorded as they listen to audio with time- varying audio quality between two different levels. Different ty...

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Bibliographic Details
Published inConference record - Asilomar Conference on Signals, Systems, & Computers pp. 123 - 127
Main Authors Mehta, Ketan, Kliewer, Jorg
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.11.2015
Subjects
Audio data
Brain modeling
COM
Conferences
Cortexes
Distortion
Electrodes
Electroencephalography
Entropy
Information flow
Mathematical analysis
Random processes
Sensors
Testing
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Summary:We exploit directed information to examine the causal relationship between EEG data in response to audio stimulus. Specifically, we conduct experiments wherein the EEG activity of subjects is recorded as they listen to audio with time- varying audio quality between two different levels. Different types of directed information measures are then used to quantify the information flow between EEG sensors, which are grouped into different regions of interest over the cortex. Further, we determine the analytical relationship between these different directional measures and compare how well they are able to distinguish between the perceived audio quality.
Bibliography:ObjectType-Article-2
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SourceType-Conference Papers & Proceedings-2
ISSN:1058-6393
DOI:10.1109/ACSSC.2015.7421096