Beat Detection Enhancing using AdaBoost

Jakub Kuzilek, Lenka Lhotska

2013

Abstract

Beat detection is a basic and fundamental step in electrocardiogram (ECG) processing. In many ECG application time is crucial and slow beat detection algorithm may cause serious problems. Beat detection algorithm desired property is to detect sufficiently large number of QRS complexes with small error in shortest time as possible. Our proposed method tries to combine weak and fast QRS detectors such as amplitude threshold based detector in order to obtain better detection result with very low computational increase. We developed a modified version of the well known AdaBoost algorithm for combining weak QRS detectors. Our algorithm has been compared with the performance of our implementation of the Pan-Tompkins’s beat detection algorithm.

Paper Citation

in Harvard Style

Kuzilek J. and Lhotska L. (2013). Beat Detection Enhancing using AdaBoost . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 280-283. DOI: 10.5220/0004195202800283

in Bibtex Style

@conference{biosignals13,
author={Jakub Kuzilek and Lenka Lhotska},
title={Beat Detection Enhancing using AdaBoost},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={280-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004195202800283},
isbn={978-989-8565-36-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Beat Detection Enhancing using AdaBoost
SN - 978-989-8565-36-5
AU - Kuzilek J.
AU - Lhotska L.
PY - 2013
SP - 280
EP - 283
DO - 10.5220/0004195202800283