QRS detection in single-lead, telehealth electrocardiogram signals: Benchmarking open-source algorithms
Article 2024 en
Authors
FK
Florian Kristof
MK
Maximilian Kapsecker
LN
Leon Nissen
Abstract
1 min read
The Neurokit and University of New South Wales QRS detectors performed best in this study. These performed sufficiently well on high-quality telehealth ECGs, but not on low-quality ECGs. This demonstrates the need to handle low-quality ECGs appropriately to ensure only ECGs which can be accurately analysed are used for clinical decision making.
Florian Kristof, Maximilian Kapsecker, Leon Nissen, James Brimicombe, Martín Cowie, Andrew Dymond, Stephan Jonas, Hannah Clair Lindén, Professor Gregory Lip, Kate Williams, Jonathan Mant, Peter Charlton
Shannon Ho, Zixuan Ding, David Wong, Florian Kristof, James Brimicombe, Martín Cowie, Andrew Dymond, Hannah Clair Lindén, Professor Gregory Lip, Kate Williams, Jonathan Mant, Peter Charlton
Discussion(0)
No comments yet. Be the first to comment.