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

Department of Medical Informatics and Artificial Intelligence (RIB/RIB1)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Innovations in Biomedical Engineering, AAB 2020
Editors	Marek Gzik, Zbigniew Paszenda, Ewa Pietka, Ewaryst Tkacz, Krzysztof Milewski, Krzysztof Milewski
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	381-389
Number of pages	9
ISBN (Print)	9783030521790
DOIs	https://doi.org/10.1007/978-3-030-52180-6_39
Publication status	Published - 2021
Event	International Scientific Conference Advances in Applied Biomechanics, AAB 2020 - Wisla, Poland Duration: 15 May 2020 → 17 May 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1223
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Scientific Conference Advances in Applied Biomechanics, AAB 2020
Country/Territory	Poland
City	Wisla
Period	15/05/20 → 17/05/20

Keywords

CEBS database
Electrocardiography
HRV analysis
Music
Seismocardiography

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

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

Cite this

Sieciński, S., & Kostka, P. (2021). Influence of Music on HRV Indices Derived from ECG and SCG. In M. Gzik, Z. Paszenda, E. Pietka, E. Tkacz, K. Milewski, & K. Milewski (Eds.), Innovations in Biomedical Engineering, AAB 2020 (pp. 381-389). (Advances in Intelligent Systems and Computing; Vol. 1223). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-52180-6_39

Sieciński, Szymon ; Kostka, Paweł. / Influence of Music on HRV Indices Derived from ECG and SCG. Innovations in Biomedical Engineering, AAB 2020. editor / Marek Gzik ; Zbigniew Paszenda ; Ewa Pietka ; Ewaryst Tkacz ; Krzysztof Milewski ; Krzysztof Milewski. Springer Science and Business Media Deutschland GmbH, 2021. pp. 381-389 (Advances in Intelligent Systems and Computing).

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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.",

keywords = "CEBS database, Electrocardiography, HRV analysis, Music, Seismocardiography",

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.; International Scientific Conference Advances in Applied Biomechanics, AAB 2020 ; Conference date: 15-05-2020 Through 17-05-2020",

year = "2021",

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

language = "English",

isbn = "9783030521790",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "381--389",

editor = "Marek Gzik and Zbigniew Paszenda and Ewa Pietka and Ewaryst Tkacz and Krzysztof Milewski and Krzysztof Milewski",

booktitle = "Innovations in Biomedical Engineering, AAB 2020",

address = "Germany",

}

Sieciński, S & Kostka, P 2021, Influence of Music on HRV Indices Derived from ECG and SCG. in M Gzik, Z Paszenda, E Pietka, E Tkacz, K Milewski & K Milewski (eds), Innovations in Biomedical Engineering, AAB 2020. Advances in Intelligent Systems and Computing, vol. 1223, Springer Science and Business Media Deutschland GmbH, pp. 381-389, International Scientific Conference Advances in Applied Biomechanics, AAB 2020, Wisla, Poland, 15/05/20. https://doi.org/10.1007/978-3-030-52180-6_39

Influence of Music on HRV Indices Derived from ECG and SCG. / Sieciński, Szymon; Kostka, Paweł.
Innovations in Biomedical Engineering, AAB 2020. ed. / Marek Gzik; Zbigniew Paszenda; Ewa Pietka; Ewaryst Tkacz; Krzysztof Milewski; Krzysztof Milewski. Springer Science and Business Media Deutschland GmbH, 2021. p. 381-389 (Advances in Intelligent Systems and Computing; Vol. 1223).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

AU - Sieciński, Szymon

AU - Kostka, Paweł

PY - 2021

Y1 - 2021

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.

KW - CEBS database

KW - Electrocardiography

KW - HRV analysis

KW - Music

KW - Seismocardiography

UR - https://www.scopus.com/pages/publications/85094144650

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

M3 - Conference contribution

AN - SCOPUS:85094144650

SN - 9783030521790

T3 - Advances in Intelligent Systems and Computing

SP - 381

EP - 389

BT - Innovations in Biomedical Engineering, AAB 2020

A2 - Gzik, Marek

A2 - Paszenda, Zbigniew

A2 - Pietka, Ewa

A2 - Tkacz, Ewaryst

A2 - Milewski, Krzysztof

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Scientific Conference Advances in Applied Biomechanics, AAB 2020

Y2 - 15 May 2020 through 17 May 2020

ER -

Influence of Music on HRV Indices Derived from ECG and SCG

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Keywords

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