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Authors: Manuel Merino-Monge ; Isabel M. Gómez-González ; Juan A. Castro-García ; Alberto J. Molina-Cantero and Roylán Quesada-Tabares

Affiliation: Departamento de Tecnología Electrónica, Universidad de Sevilla and Spain

Keyword(s): Music, Electrocardiogram, Electroencephalogram, Signal Processing.

Related Ontology Subjects/Areas/Topics: Affective Computing ; Applications ; Biomedical Engineering ; Health Information Systems ; Human-Computer Interaction ; Interactive Physiological Systems ; Pattern Recognition ; Pervasive Technologies ; Physiological Computing Systems ; Software Engineering

Abstract: In this work, music is used to elicit emotions and the impact produced by it on the electrocardiogram and electroencephalogram signals is measured. Test consists a sequence of 12 songs where each one is played during 1 minute. Songs were grouped in 4 sets based on pleasant/activation level. In this preliminary study, 6 male subjects realized the trial. Individuals scored each song using Self-Assessment Manikin (SAM) survey. Biosignal parameters were analyzed with Kruskal-Wallis test (KWT). Although the sample of the subjects on whom the test was performed is small, significant variation is observed in 3 parameters extracted from the electrocardiogram when features are grouped using SAM values from survey filled in by subjects. These parameters show an increasing of heart rate with arousal level and when songs are not totally matched with individual preferences. The use of information extracted from biosignals in therapies for individuals with low interaction is proposed for future st udies. (More)

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Paper citation in several formats:
Merino-Monge, M.; Gómez-González, I.; Castro-García, J.; Molina-Cantero, A. and Quesada-Tabares, R. (2018). A Preliminary Study about the Music Influence on EEG and ECG Signals. In Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS; ISBN 978-989-758-329-2; ISSN 2184-321X, SciTePress, pages 100-106. DOI: 10.5220/0006960001000106

@conference{phycs18,
author={Manuel Merino{-}Monge. and Isabel M. Gómez{-}González. and Juan A. Castro{-}García. and Alberto J. Molina{-}Cantero. and Roylán Quesada{-}Tabares.},
title={A Preliminary Study about the Music Influence on EEG and ECG Signals},
booktitle={Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS},
year={2018},
pages={100-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006960001000106},
isbn={978-989-758-329-2},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Physiological Computing Systems - PhyCS
TI - A Preliminary Study about the Music Influence on EEG and ECG Signals
SN - 978-989-758-329-2
IS - 2184-321X
AU - Merino-Monge, M.
AU - Gómez-González, I.
AU - Castro-García, J.
AU - Molina-Cantero, A.
AU - Quesada-Tabares, R.
PY - 2018
SP - 100
EP - 106
DO - 10.5220/0006960001000106
PB - SciTePress

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