Abstract
Listening to music has been known to affect autonomic function of cardiovascular regulation. Baroreflex is a feedback control loop that uses rate changes of the heart in order to regulate beat by beat changes in blood pressure (BP). In this study, we used two approaches to compute measures of sensitivity of the baroreflex (BRS), a time domain sequence approach and frequency domain transfer functions. Subjects listened to slow and fast tempo songs during the study. Electrocardiogram (ECG) and non-invasive continuous BP were recorded in 14 subjects (7 males and females). From these signals, either beat by beat or equi-sampled in time RR intervals and systolic BP (SBP) were computed. BRS was then estimated using RR and SBP. Our results show that the sequence method consistently provided higher values of BRS than the transfer function method (up to two fold). The two measures were reasonably well correlated (R >0.84) during control and the slow song, but not during the fast song. The BRS was lower ( ∼ 20%) than control when listening to fast songs (p <0.005). These results show the effects of listening to songs on BRS changes, but also show that the two methods to estimate BRS, although reasonably correlated, do not always provide similar estimates of BRS.
Original language | English |
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Title of host publication | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 |
Pages | 2776-2779 |
Number of pages | 4 |
ISBN (Electronic) | 9781538636466 |
DOIs | |
State | Published - Oct 26 2018 |
Event | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States Duration: Jul 18 2018 → Jul 21 2018 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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Volume | 2018-July |
ISSN (Print) | 1557-170X |
Conference
Conference | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 |
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Country/Territory | United States |
City | Honolulu |
Period | 7/18/18 → 7/21/18 |
Bibliographical note
Funding Information:Research supported by a grant from the National Science Foundation (EPSCoR RII Track-2). DB, MJM, ST, JE, AP are with Department of Biomedical Engineering, at University of Kentucky, 40506, KY, USA. *Address Correspondence to: Dibyajyoti Biswal, (Email: dibyajyoti.biswal12@uky.edu)
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics