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PLEŠINGER, F. IVORA, A. HALÁMEK, J. VIŠČOR, I. SMÍŠEK, R. BULKOVÁ, V. JURÁK, P.
Originální název
Evaluating Pauses in Holter ECG Signals
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Background: Information related to pauses in heart activity is an important output of ECG Holter monitoring reports. This information should be quickly assessed from inter-beat (RR) intervals only (a naïve approach). However, evaluating pauses in Holter ECGs recorded during usual daily activities can be more challenging due to signal lower quality. In this paper, we propose a method to improve pause detection in heart activity from Holter ECG recordings. Method: We used 978 recordings (length 45 seconds, 1-lead ECG, sampled at 200 or 250 Hz) with a known longest RR interval (from 1.12 to 19.0 seconds, mean duration of 2.72 ± 1.26 seconds). QRS complexes were detected by a convolutional neural network with a recurrent layer. This study started with the automated removal of suspicious QRS complexes by a QRS amplitude. Then we iterated through RR intervals, seeking saturated areas, missed QRS, or a strong noise; potentially, examined RR intervals were further refined. The longest interval was reported for each recording. Results: A mean difference between computed and expert values was 0.079 ± 0.433 and 0.046 ± 0.120 seconds for the naïve and the proposed approach, respectively. The ability to find severe pauses (equal to or longer than 4 seconds) showed an F1 score of 0.95 and 0.97 for naïve and the proposed method. Conclusion: Our results showed that the proposed method improved pause detection in Holter ECG recordings compared to the naïve approach.
Klíčová slova
Holter ECG, pauses in ECG, automatic pauses detection in ECG
Autoři
PLEŠINGER, F.; IVORA, A.; HALÁMEK, J.; VIŠČOR, I.; SMÍŠEK, R.; BULKOVÁ, V.; JURÁK, P.
Vydáno
10. 1. 2022
Nakladatel
IEEE
Místo
Brno, Czech republic
ISSN
2325-887X
Periodikum
Computing in Cardiology
Ročník
48
Číslo
1
Stát
Spojené státy americké
Strany od
Strany do
4
Strany počet
URL
https://www.cinc.org/2021/Program/accepted/107_Preprint.pdf
BibTex
@inproceedings{BUT174124, author="Filip {Plešinger} and Adam {Ivora} and Josef {Halámek} and Ivo {Viščor} and Radovan {Smíšek} and Veronika {Bulková} and Pavel {Jurák}", title="Evaluating Pauses in Holter ECG Signals", booktitle="Computing in Cardiology 2021", year="2022", journal="Computing in Cardiology", volume="48", number="1", pages="1--4", publisher="IEEE", address="Brno, Czech republic", doi="10.23919/CinC53138.2021.9662914", issn="2325-887X", url="https://www.cinc.org/2021/Program/accepted/107_Preprint.pdf" }