Publication detail

Wavelet Transform Based Detection of the First-degree Atrioventricular Block

SMÍŠEK, R. VIŠČOR, I. IVORA, A. BULKOVÁ, V. MARŠÁNOVÁ, L. NEJEDLÝ, P. KOŠČOVÁ, Z. HALÁMEK, J. JURÁK, P. PLEŠINGER, F.

Original Title

Wavelet Transform Based Detection of the First-degree Atrioventricular Block

Type

conference paper

Language

English

Original Abstract

Introduction: First-degree atrioventricular block (AVB I) is a pathology defined on ECG by a PR interval greater than 200 msec. This paper aims to automatically detect AVB I by measuring the length of the PR interval. Method: Our method consists of the following steps: a) Records with atrial fibrillation or atrial flutter were excluded. b) QRS complexes were detected. c) QRS onset and T offset was detected for each ECG cycle. The median distance between QRS onset and the end of the previous T- wave is calculated (marked as X). d) QRSs were aligned and clustered according to morphological similarity. QRSs of the most frequent morphology were averaged. e) QRS onset and offset were detected for the averaged QRS. The signal between QRS onset and offset was replaced by a line intersected by the QRS onset and offset points. This signal was transformed by a wavelet transform. f) The P wave was detected in the transformed signal. The P onset was detected in the section from QRS onset minus X to the P wave position. g) AVB I was detected when the PR interval was longer than 200 msec. Results: The algorithm was set up and validated on private data and tested on publicly available databases. The algorithm achieves sensitivity 0.81, 0.81, 0.82, 0.84 and specificity 0.91, 0.90, 0.86, 0.93 for CPSC, CPSC- Extra, PTB-XL and Georgia database, respectively.

Keywords

Body-surface UHF-ECG, Ultra-high-frequency electrocardiography, VDI Vision

Authors

SMÍŠEK, R.; VIŠČOR, I.; IVORA, A.; BULKOVÁ, V.; MARŠÁNOVÁ, L.; NEJEDLÝ, P.; KOŠČOVÁ, Z.; HALÁMEK, J.; JURÁK, P.; PLEŠINGER, F.

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/168_Preprint.pdf

BibTex

@inproceedings{BUT174123,
  author="Radovan {Smíšek} and Ivo {Viščor} and Adam {Ivora} and Veronika {Bulková} and Lucie {Šaclová} and Petr {Nejedlý} and Zuzana {Koščová} and Josef {Halámek} and Pavel {Jurák} and Filip {Plešinger}",
  title="Wavelet Transform Based Detection of the First-degree Atrioventricular Block",
  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/CinC53138.2021.9662877",
  issn="2325-887X",
  url="https://www.cinc.org/2021/Program/accepted/168_Preprint.pdf"
}