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Comparison of HRV indices obtained from ECG and SCG signals from CEBS database

BACKGROUND: Heart rate variability (HRV) has become a useful tool of assessing the function of the heart and of the autonomic nervous system. Over the recent years, there has been interest in heart rate monitoring without electrodes. Seismocardiography (SCG) is a non-invasive technique of recording...

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Autores principales: Siecinski, Szymon, Tkacz, Ewaryst J., Kostka, Pawel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545220/
https://www.ncbi.nlm.nih.gov/pubmed/31153383
http://dx.doi.org/10.1186/s12938-019-0687-5
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author Siecinski, Szymon
Tkacz, Ewaryst J.
Kostka, Pawel S.
author_facet Siecinski, Szymon
Tkacz, Ewaryst J.
Kostka, Pawel S.
author_sort Siecinski, Szymon
collection PubMed
description BACKGROUND: Heart rate variability (HRV) has become a useful tool of assessing the function of the heart and of the autonomic nervous system. Over the recent years, there has been interest in heart rate monitoring without electrodes. Seismocardiography (SCG) is a non-invasive technique of recording and analyzing vibrations generated by the heart using an accelerometer. In this study, we compare HRV indices obtained from SCG and ECG on signals from combined measurement of ECG, breathing and seismocardiogram (CEBS) database and determine the influence of heart beat detector on SCG signals. METHODS: We considered two heart beat detectors on SCG signals: reference detector using R waves from ECG signal to detect heart beats in SCG and a heart beat detector using only SCG signal. We performed HRV analysis and calculated time and frequency features. RESULTS: Beat detection performance of tested algorithm on all SCG signals is quite good on 85,954 beats ([Formula: see text] , [Formula: see text] ) despite lower performance on noisy signals. Correlation between HRV indices was calculated as coefficient of determination ([Formula: see text] ) to determine goodness of fit to linear model. The highest [Formula: see text] values were obtained for mean interbeat interval ([Formula: see text] for reference algorithm, [Formula: see text] in the worst case), [Formula: see text] and [Formula: see text] ([Formula: see text] for the best case, [Formula: see text] for the worst case) and the lowest were obtained for [Formula: see text] ([Formula: see text] in the worst case). Using robust model improved achieved correlation between HRV indices obtained from ECG and SCG signals except the [Formula: see text] values of pNN50 values in signals p001–p020 and for all analyzed signals. CONCLUSIONS: Calculated HRV indices derived from ECG and SCG are similar using two analyzed beat detectors, except SDNN, RMSSD, NN50, pNN50, and [Formula: see text] . Relationship of HRV indices derived from ECG and SCG was influenced by used beat detection method on SCG signal.
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spelling pubmed-65452202019-06-05 Comparison of HRV indices obtained from ECG and SCG signals from CEBS database Siecinski, Szymon Tkacz, Ewaryst J. Kostka, Pawel S. Biomed Eng Online Research BACKGROUND: Heart rate variability (HRV) has become a useful tool of assessing the function of the heart and of the autonomic nervous system. Over the recent years, there has been interest in heart rate monitoring without electrodes. Seismocardiography (SCG) is a non-invasive technique of recording and analyzing vibrations generated by the heart using an accelerometer. In this study, we compare HRV indices obtained from SCG and ECG on signals from combined measurement of ECG, breathing and seismocardiogram (CEBS) database and determine the influence of heart beat detector on SCG signals. METHODS: We considered two heart beat detectors on SCG signals: reference detector using R waves from ECG signal to detect heart beats in SCG and a heart beat detector using only SCG signal. We performed HRV analysis and calculated time and frequency features. RESULTS: Beat detection performance of tested algorithm on all SCG signals is quite good on 85,954 beats ([Formula: see text] , [Formula: see text] ) despite lower performance on noisy signals. Correlation between HRV indices was calculated as coefficient of determination ([Formula: see text] ) to determine goodness of fit to linear model. The highest [Formula: see text] values were obtained for mean interbeat interval ([Formula: see text] for reference algorithm, [Formula: see text] in the worst case), [Formula: see text] and [Formula: see text] ([Formula: see text] for the best case, [Formula: see text] for the worst case) and the lowest were obtained for [Formula: see text] ([Formula: see text] in the worst case). Using robust model improved achieved correlation between HRV indices obtained from ECG and SCG signals except the [Formula: see text] values of pNN50 values in signals p001–p020 and for all analyzed signals. CONCLUSIONS: Calculated HRV indices derived from ECG and SCG are similar using two analyzed beat detectors, except SDNN, RMSSD, NN50, pNN50, and [Formula: see text] . Relationship of HRV indices derived from ECG and SCG was influenced by used beat detection method on SCG signal. BioMed Central 2019-06-01 /pmc/articles/PMC6545220/ /pubmed/31153383 http://dx.doi.org/10.1186/s12938-019-0687-5 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Siecinski, Szymon
Tkacz, Ewaryst J.
Kostka, Pawel S.
Comparison of HRV indices obtained from ECG and SCG signals from CEBS database
title Comparison of HRV indices obtained from ECG and SCG signals from CEBS database
title_full Comparison of HRV indices obtained from ECG and SCG signals from CEBS database
title_fullStr Comparison of HRV indices obtained from ECG and SCG signals from CEBS database
title_full_unstemmed Comparison of HRV indices obtained from ECG and SCG signals from CEBS database
title_short Comparison of HRV indices obtained from ECG and SCG signals from CEBS database
title_sort comparison of hrv indices obtained from ecg and scg signals from cebs database
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545220/
https://www.ncbi.nlm.nih.gov/pubmed/31153383
http://dx.doi.org/10.1186/s12938-019-0687-5
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