Choosing the Appropriate QRS Detector

Justus Eilers, Jonas Chromik, Bert Arnrich

2021

Abstract

QRS detectors are used as the most basic processing tool for ECG signals. Thus, there are many situations and signals with a wide range of characteristics in which they shall show great performance. Despite the expected versatility, most of the published QRS detectors are not tested on a diverse dataset. Using 14 databases, 10,000 heartbeats for each different heartbeat type were extracted to show that there are notable performance differences for the tested eight algorithms. Besides the analysis on heartbeat types, this paper also tests the noise resilience regarding different noise combinations. Each of the tested QRS detectors showed significant differences depending on heartbeat type and noise combination. This leads to the conclusion that before choosing a QRS detector, one should consider its use case and test the detector on data representing it. For authors of QRS detectors, this means that every algorithm evaluation should employ a dataset that is as diverse as the one used in this paper to assess the QRS detector’s performance in an objective and unbiased manner.

Paper Citation

in Harvard Style

Eilers J., Chromik J. and Arnrich B. (2021). Choosing the Appropriate QRS Detector. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS; ISBN 978-989-758-490-9, SciTePress, pages 50-59. DOI: 10.5220/0010234600002865

in Bibtex Style

@conference{biosignals21,
author={Justus Eilers and Jonas Chromik and Bert Arnrich},
title={Choosing the Appropriate QRS Detector},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS},
year={2021},
pages={50-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010234600002865},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS
TI - Choosing the Appropriate QRS Detector
SN - 978-989-758-490-9
AU - Eilers J.
AU - Chromik J.
AU - Arnrich B.
PY - 2021
SP - 50
EP - 59
DO - 10.5220/0010234600002865
PB - SciTePress