Influence of Music on HRV Indices Derived from ECG and SCG

Szymon Sieciński; Paweł Kostka

doi:10.1007/978-3-030-52180-6_39

Influence of Music on HRV Indices Derived from ECG and SCG

Szymon Sieciński^*, Paweł Kostka

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Medizinische Informatik

Silesian University of Technology

Abstract

Music surrounds us every day and fulfills many functions. Its influence on human physiology has been widely described in the literature. In order to evaluate quantitatively this influence, we used heart rate variability (HRV) analysis on signals acquired before listening to the music and after listening to the music for 50 min. The following HRV indices were considered: AVNN, SDNN, RMSSD, pNN50, PLF, PHF, LF/HF, EA, VLI, and VAI. We observed no statistically significant differences between HRV indices calculated on signals registered before and after 50 min of listening to the music, although we observed the increase of PLF.

Originalsprache	Englisch
Titel	Advances in Intelligent Systems and Computing : Innovations in Biomedical Engineering. AAB 2020.
Band	1223
Herausgeber (Verlag)	Springer, Cham
Erscheinungsdatum	11.10.2020
Seiten	381-389
ISBN (Print)	978-303052179-0
ISBN (elektronisch)	978-3-030-52180-6
DOIs	https://doi.org/10.1007/978-3-030-52180-6_39
Publikationsstatus	Veröffentlicht - 11.10.2020

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title = "Influence of Music on HRV Indices Derived from ECG and SCG",

abstract = "Music surrounds us every day and fulfills many functions. Its influence on human physiology has been widely described in the literature. In order to evaluate quantitatively this influence, we used heart rate variability (HRV) analysis on signals acquired before listening to the music and after listening to the music for 50 min. The following HRV indices were considered: AVNN, SDNN, RMSSD, pNN50, PLF, PHF, LF/HF, EA, VLI, and VAI. We observed no statistically significant differences between HRV indices calculated on signals registered before and after 50 min of listening to the music, although we observed the increase of PLF.",

author = "Szymon Sieci{\'n}ski and Pawe{\l} Kostka",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2020",

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doi = "10.1007/978-3-030-52180-6_39",

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T1 - Influence of Music on HRV Indices Derived from ECG and SCG

AU - Sieciński, Szymon

AU - Kostka, Paweł

PY - 2020/10/11

Y1 - 2020/10/11

N2 - Music surrounds us every day and fulfills many functions. Its influence on human physiology has been widely described in the literature. In order to evaluate quantitatively this influence, we used heart rate variability (HRV) analysis on signals acquired before listening to the music and after listening to the music for 50 min. The following HRV indices were considered: AVNN, SDNN, RMSSD, pNN50, PLF, PHF, LF/HF, EA, VLI, and VAI. We observed no statistically significant differences between HRV indices calculated on signals registered before and after 50 min of listening to the music, although we observed the increase of PLF.

AB - Music surrounds us every day and fulfills many functions. Its influence on human physiology has been widely described in the literature. In order to evaluate quantitatively this influence, we used heart rate variability (HRV) analysis on signals acquired before listening to the music and after listening to the music for 50 min. The following HRV indices were considered: AVNN, SDNN, RMSSD, pNN50, PLF, PHF, LF/HF, EA, VLI, and VAI. We observed no statistically significant differences between HRV indices calculated on signals registered before and after 50 min of listening to the music, although we observed the increase of PLF.

U2 - 10.1007/978-3-030-52180-6_39

DO - 10.1007/978-3-030-52180-6_39

M3 - Conference contribution

SN - 978-303052179-0

VL - 1223

SP - 381

EP - 389

BT - Advances in Intelligent Systems and Computing

PB - Springer, Cham

ER -

Influence of Music on HRV Indices Derived from ECG and SCG

Abstract

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