Time Domain and Frequency Domain Heart Rate Variability Analysis on Gyrocardiograms

Szymon Siecinski; Pawel S. Kostka; Ewaryst J. Tkacz

doi:10.1109/EMBC44109.2020.9176052

Time Domain and Frequency Domain Heart Rate Variability Analysis on Gyrocardiograms

Szymon Siecinski^*, Pawel S. Kostka, Ewaryst J. Tkacz

^*Corresponding author for this work

Institute of Medical Informatics

Abstract

Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. The interest in heart rate monitoring without electrodes led to the rise of alternative heart beat monitoring methods, such as gyrocardiography (GCG). The purpose of this study was to compare HRV indices calculated on GCG and ECG signals. The study on time domain and and frequency domain heart rate variability analysis was conducted on electrocardiograms and gyrocardiograms registered on 29 healthy male volunteers. ECG signals were used as a reference and the HRV analysis was performed using PhysioNet Cardiovascular Signal Toolbox. The results of HRV analysis show great similarity and strong linear correlation of HRV indices calculated from ECG and GCG indicate the feasibility and reliability of HRV analysis based on gyrocardiograms.

Original language	English
Title of host publication	2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 20-24 July 2020
Publication date	27.08.2020
Pages	2630-2633
ISBN (Electronic)	978-1-7281-1990-8
DOIs	https://doi.org/10.1109/EMBC44109.2020.9176052
Publication status	Published - 27.08.2020
Event	42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society - Montreal, Canada Duration: 20.07.2020 → 24.07.2020 Conference number: 162693

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10.1109/EMBC44109.2020.9176052

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title = "Time Domain and Frequency Domain Heart Rate Variability Analysis on Gyrocardiograms",

abstract = "Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. The interest in heart rate monitoring without electrodes led to the rise of alternative heart beat monitoring methods, such as gyrocardiography (GCG). The purpose of this study was to compare HRV indices calculated on GCG and ECG signals. The study on time domain and and frequency domain heart rate variability analysis was conducted on electrocardiograms and gyrocardiograms registered on 29 healthy male volunteers. ECG signals were used as a reference and the HRV analysis was performed using PhysioNet Cardiovascular Signal Toolbox. The results of HRV analysis show great similarity and strong linear correlation of HRV indices calculated from ECG and GCG indicate the feasibility and reliability of HRV analysis based on gyrocardiograms.",

author = "Szymon Siecinski and Kostka, {Pawel S.} and Tkacz, {Ewaryst J.}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society , EMBC 2020 ; Conference date: 20-07-2020 Through 24-07-2020",

year = "2020",

month = aug,

day = "27",

doi = "10.1109/EMBC44109.2020.9176052",

language = "English",

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booktitle = "2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 20-24 July 2020",

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Siecinski, S, Kostka, PS & Tkacz, EJ 2020, Time Domain and Frequency Domain Heart Rate Variability Analysis on Gyrocardiograms. in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 20-24 July 2020. pp. 2630-2633, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society , Montreal, Quebec, Canada, 20.07.20. https://doi.org/10.1109/EMBC44109.2020.9176052

Time Domain and Frequency Domain Heart Rate Variability Analysis on Gyrocardiograms. / Siecinski, Szymon; Kostka, Pawel S.; Tkacz, Ewaryst J.
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 20-24 July 2020. 2020. p. 2630-2633.

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Time Domain and Frequency Domain Heart Rate Variability Analysis on Gyrocardiograms

AU - Siecinski, Szymon

AU - Kostka, Pawel S.

AU - Tkacz, Ewaryst J.

N1 - Conference code: 162693

PY - 2020/8/27

Y1 - 2020/8/27

N2 - Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. The interest in heart rate monitoring without electrodes led to the rise of alternative heart beat monitoring methods, such as gyrocardiography (GCG). The purpose of this study was to compare HRV indices calculated on GCG and ECG signals. The study on time domain and and frequency domain heart rate variability analysis was conducted on electrocardiograms and gyrocardiograms registered on 29 healthy male volunteers. ECG signals were used as a reference and the HRV analysis was performed using PhysioNet Cardiovascular Signal Toolbox. The results of HRV analysis show great similarity and strong linear correlation of HRV indices calculated from ECG and GCG indicate the feasibility and reliability of HRV analysis based on gyrocardiograms.

AB - Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. The interest in heart rate monitoring without electrodes led to the rise of alternative heart beat monitoring methods, such as gyrocardiography (GCG). The purpose of this study was to compare HRV indices calculated on GCG and ECG signals. The study on time domain and and frequency domain heart rate variability analysis was conducted on electrocardiograms and gyrocardiograms registered on 29 healthy male volunteers. ECG signals were used as a reference and the HRV analysis was performed using PhysioNet Cardiovascular Signal Toolbox. The results of HRV analysis show great similarity and strong linear correlation of HRV indices calculated from ECG and GCG indicate the feasibility and reliability of HRV analysis based on gyrocardiograms.

U2 - 10.1109/EMBC44109.2020.9176052

DO - 10.1109/EMBC44109.2020.9176052

M3 - Conference contribution

SP - 2630

EP - 2633

BT - 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 20-24 July 2020

T2 - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society

Y2 - 20 July 2020 through 24 July 2020

ER -

Time Domain and Frequency Domain Heart Rate Variability Analysis on Gyrocardiograms

Abstract

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