dc.creator | Merino Monge, Manuel | es |
dc.creator | Gómez González, Isabel María | es |
dc.creator | Castro García, Juan Antonio | es |
dc.creator | Molina Cantero, Alberto Jesús | es |
dc.creator | Quesada Tabares, Roylán | es |
dc.date.accessioned | 2021-03-11T08:39:32Z | |
dc.date.available | 2021-03-11T08:39:32Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Merino Monge, M., Gómez González, I.M., Castro García, J.A., Molina Cantero, A.J. y Quesada Tabares, R. (2018). A Preliminary Study about the Music Influence on EEG and ECG Signals. En PhyCS 2018: 5th International Conference on Physiological Computing Systems (100-106), Sevilla, España: ScitePress Digital Library. | |
dc.identifier.isbn | 978-989-758-329-2 | es |
dc.identifier.uri | https://hdl.handle.net/11441/105869 | |
dc.description.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 studies. | es |
dc.format | application/pdf | es |
dc.format.extent | 7 | es |
dc.language.iso | eng | es |
dc.publisher | ScitePress Digital Library | es |
dc.relation.ispartof | PhyCS 2018: 5th International Conference on Physiological Computing Systems (2018), pp. 100-106. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Music | es |
dc.subject | Electrocardiogram | es |
dc.subject | Electroencephalogram | es |
dc.subject | Signal processing | es |
dc.title | A Preliminary Study about the Music Influence on EEG and ECG Signals | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.publisherversion | https://www.scitepress.org/Link.aspx?doi=10.5220/0006960001000106 | es |
dc.identifier.doi | 10.5220/0006960001000106 | es |
dc.publication.initialPage | 100 | es |
dc.publication.endPage | 106 | es |
dc.eventtitle | PhyCS 2018: 5th International Conference on Physiological Computing Systems | es |
dc.eventinstitution | Sevilla, España | es |
dc.relation.publicationplace | Setúbal, Portugal | es |