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Evaluating Pauses in Holter ECG Signals
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SYSNO ASEP 0555164 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Evaluating Pauses in Holter ECG Signals Author(s) Plešinger, Filip (UPT-D) RID, ORCID, SAI
Ivora, Adam (UPT-D)
Halámek, Josef (UPT-D) RID, ORCID, SAI
Viščor, Ivo (UPT-D) RID, ORCID, SAI
Smíšek, Radovan (UPT-D) RID, ORCID, SAI
Bulková, V. (CZ)
Jurák, Pavel (UPT-D) RID, ORCID, SAINumber of authors 7 Article number 107 Source Title 2021 Computing in Cardiology (CinC), 48. - New York : IEEE, 2021 - ISSN 2325-8861 - ISBN 978-166547916-5 Number of pages 4 s. Publication form Online - E Action Computing in Cardiology 2021 /48./ Event date 12.09.2021 - 15.09.2021 VEvent location Brno Country CZ - Czech Republic Event type WRD Language eng - English Country US - United States Keywords Holter ECG ; Evaluating Pauses Subject RIV FS - Medical Facilities ; Equipment OECD category Medical engineering R&D Projects FW01010305 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) Institutional support UPT-D - RVO:68081731 UT WOS 000821955000202 EID SCOPUS 85124722290 DOI https://doi.org/10.23919/CinC53138.2021.9662914 Annotation 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: The ability to find life-threatening pauses improved from an F1 score of 0.95 to 0.97. Conclusion: The presented method improved pause detection in Holter ECG recordings compared to the naïve approach. Workplace Institute of Scientific Instruments Contact Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Year of Publishing 2022 Electronic address https://ieeexplore.ieee.org/document/9662914
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