Unobtrusive Nocturnal Heartbeat Monitoring by a Ballistocardiographic Sensor in Patients with Sleep Disordered Breathing
Abstract Sleep disordered breathing (SDB) is known for fluctuating heart rates and an increased risk of developing arrhythmias. The current reference for heartbeat analysis is an electrocardiogram (ECG). As an unobtrusive alternative, we tested a sensor foil for mechanical vibrations to perform a ba...
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doaj-4248035e110245319ed4bc84a6e4a4302020-12-08T01:30:17ZengNature Publishing GroupScientific Reports2045-23222017-10-017111310.1038/s41598-017-13138-0Unobtrusive Nocturnal Heartbeat Monitoring by a Ballistocardiographic Sensor in Patients with Sleep Disordered BreathingMatthias Daniel Zink0Christoph Brüser1Björn-Ole Stüben2Andreas Napp3Robert Stöhr4Steffen Leonhardt5Nikolaus Marx6Karl Mischke7Jörg B. Schulz8Johannes Schiefer9Department of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30Philips Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen, Pauwelsstr. 20Department of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30Department of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30Department of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30Philips Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen, Pauwelsstr. 20Department of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30Department of Cardiology, Pneumology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstr. 30Department of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30Department of Neurology, University Hospital RWTH Aachen, Pauwelsstr. 30Abstract Sleep disordered breathing (SDB) is known for fluctuating heart rates and an increased risk of developing arrhythmias. The current reference for heartbeat analysis is an electrocardiogram (ECG). As an unobtrusive alternative, we tested a sensor foil for mechanical vibrations to perform a ballistocardiography (BCG) and applied a novel algorithm for beat-to-beat cycle length detection. The aim of this study was to assess the correlation between beat-to-beat cycle length detection by the BCG algorithm and simultaneously recorded ECG. In 21 patients suspected for SDB undergoing polysomnography, we compared ECG to simultaneously recorded BCG data analysed by our algorithm. We analysed 362.040 heartbeats during a total of 93 hours of recording. The baseline beat-to-beat cycle length correlation between BCG and ECG was r s = 0.77 (n = 362040) with a mean absolute difference of 15 ± 162 ms (mean cycle length: ECG 923 ± 220 ms; BCG 908 ± 203 ms). After filtering artefacts and improving signal quality by our algorithm, the correlation increased to r s = 0.95 (n = 235367) with a mean absolute difference in cycle length of 4 ± 72 ms (ECG 920 ± 196 ms; BCG 916 ± 194 ms). We conclude that our algorithm, coupled with a BCG sensor foil provides good correlation of beat-to-beat cycle length detection with simultaneously recorded ECG.https://doi.org/10.1038/s41598-017-13138-0 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Matthias Daniel Zink Christoph Brüser Björn-Ole Stüben Andreas Napp Robert Stöhr Steffen Leonhardt Nikolaus Marx Karl Mischke Jörg B. Schulz Johannes Schiefer |
spellingShingle |
Matthias Daniel Zink Christoph Brüser Björn-Ole Stüben Andreas Napp Robert Stöhr Steffen Leonhardt Nikolaus Marx Karl Mischke Jörg B. Schulz Johannes Schiefer Unobtrusive Nocturnal Heartbeat Monitoring by a Ballistocardiographic Sensor in Patients with Sleep Disordered Breathing Scientific Reports |
author_facet |
Matthias Daniel Zink Christoph Brüser Björn-Ole Stüben Andreas Napp Robert Stöhr Steffen Leonhardt Nikolaus Marx Karl Mischke Jörg B. Schulz Johannes Schiefer |
author_sort |
Matthias Daniel Zink |
title |
Unobtrusive Nocturnal Heartbeat Monitoring by a Ballistocardiographic Sensor in Patients with Sleep Disordered Breathing |
title_short |
Unobtrusive Nocturnal Heartbeat Monitoring by a Ballistocardiographic Sensor in Patients with Sleep Disordered Breathing |
title_full |
Unobtrusive Nocturnal Heartbeat Monitoring by a Ballistocardiographic Sensor in Patients with Sleep Disordered Breathing |
title_fullStr |
Unobtrusive Nocturnal Heartbeat Monitoring by a Ballistocardiographic Sensor in Patients with Sleep Disordered Breathing |
title_full_unstemmed |
Unobtrusive Nocturnal Heartbeat Monitoring by a Ballistocardiographic Sensor in Patients with Sleep Disordered Breathing |
title_sort |
unobtrusive nocturnal heartbeat monitoring by a ballistocardiographic sensor in patients with sleep disordered breathing |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2017-10-01 |
description |
Abstract Sleep disordered breathing (SDB) is known for fluctuating heart rates and an increased risk of developing arrhythmias. The current reference for heartbeat analysis is an electrocardiogram (ECG). As an unobtrusive alternative, we tested a sensor foil for mechanical vibrations to perform a ballistocardiography (BCG) and applied a novel algorithm for beat-to-beat cycle length detection. The aim of this study was to assess the correlation between beat-to-beat cycle length detection by the BCG algorithm and simultaneously recorded ECG. In 21 patients suspected for SDB undergoing polysomnography, we compared ECG to simultaneously recorded BCG data analysed by our algorithm. We analysed 362.040 heartbeats during a total of 93 hours of recording. The baseline beat-to-beat cycle length correlation between BCG and ECG was r s = 0.77 (n = 362040) with a mean absolute difference of 15 ± 162 ms (mean cycle length: ECG 923 ± 220 ms; BCG 908 ± 203 ms). After filtering artefacts and improving signal quality by our algorithm, the correlation increased to r s = 0.95 (n = 235367) with a mean absolute difference in cycle length of 4 ± 72 ms (ECG 920 ± 196 ms; BCG 916 ± 194 ms). We conclude that our algorithm, coupled with a BCG sensor foil provides good correlation of beat-to-beat cycle length detection with simultaneously recorded ECG. |
url |
https://doi.org/10.1038/s41598-017-13138-0 |
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