Publication detail

Evaluating Pauses in Holter ECG Signals

PLEŠINGER, F. IVORA, A. HALÁMEK, J. VIŠČOR, I. SMÍŠEK, R. BULKOVÁ, V. JURÁK, P.

Original Title

Evaluating Pauses in Holter ECG Signals

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Holter ECG, pauses in ECG, automatic pauses detection in ECG

Authors

PLEŠINGER, F.; IVORA, A.; HALÁMEK, J.; VIŠČOR, I.; SMÍŠEK, R.; BULKOVÁ, V.; JURÁK, P.

Released

10. 1. 2022

Publisher

IEEE

Location

Brno, Czech republic

ISBN

2325-887X

Periodical

Computing in Cardiology

Year of study

48

Number

1

State

United States of America

Pages from

1

Pages to

4

Pages count

4

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"
}