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Authors: Jakub Kuzilek 1 and Lenka Lhotska 2

Affiliations: 1 Dept. of Cybernetics, FEE and CTU in Prague, Czech Republic ; 2 FEE CTU in Prague, Czech Republic

ISBN: 978-989-8565-36-5

Keyword(s): QRS Detection, AdaBoost, Combining Classifiers.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

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.

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Paper citation in several formats:
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

@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},
}

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

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