Cerruto, G;
Mainardi, L;
Koelsch, S;
Orini, M;
(2017)
The periodic repolarization dynamics index identifies changes in ventricular repolarization oscillations associated with music-induced emotions.
In:
Computing in Cardiology 2017.
Computing in Cardiology: Rennes, France.
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Abstract
The effect of music on cardiovascular dynamics may be useful in a variety of clinical settings. The aim of this study was to assess whether listening to music characterized by different emotional valence affected ventricular periodic repolarization dynamics (PRD), a recently-proposed non-invasive index of sympathetic ventricular modulation. The 12 lead ECG was recorded in 71 healthy volunteers exposed to six 90 s excerpts of pleasant music and unpleasant acoustic stimuli as well as six 90 s intervals of silence. A 20 s interval was allowed between excerpts during which the participants were asked to evaluate the previous excerpt. A simulation study was carried out to assess the capability of the algorithm of tracking fast small changes in PRD. The simulation study shows that the algorithm implemented in this study has a time-frequency resolution sufficient to capture the fast dynamics observed in this study. PRD were higher during listening to both pleasant and unpleasant music than during silence. There was a (weak) trend for the PRD to be higher during listening to pleasant than unpleasant music that may indicate the existence of a (weak) interaction between the valence of music-induced emotions and sympathetic ventricular response. The PRD significantly increased during the 20 s interval in between conditions, possibly reflecting a sympathetic response to the evaluation task and/or to the expectation of the following excerpt.
| Type: | Proceedings paper |
|---|---|
| Title: | The periodic repolarization dynamics index identifies changes in ventricular repolarization oscillations associated with music-induced emotions |
| Event: | 44th Computing in Cardiology Conference (CinC) |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.22489/CinC.2017.259-372 |
| Publisher version: | http://dx.doi.org/10.22489/CinC.2017.259-372 |
| Language: | English |
| Additional information: | © 2017 IEEE Computer Society. All rights reserved. CinC has been an open-access publication, in which copyright in each article is held by its authors, who grant permission to copy and redistribute their work with attribution, under the terms of the Creative Commons Attribution License. (https://creativecommons.org/licenses/by/2.5/) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine > MRC Unit for Lifelong Hlth and Ageing |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10047005 |
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