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Authors: Julien Allali 1 ; Pascal Ferraro 2 ; Costas S. Iliopoulos 3 and Spiros Michalakopoulos 4

Affiliations: 1 Laboratoire Bordelais de Recherche en Informatique;University Simon Fraser, Canada ; 2 Laboratoire Bordelais de Recherche en Informatique;University of Calgary, Canada ; 3 King's College London;Digital Ecosystems & Business Intelligence Institute, Australia ; 4 King's College London, United Kingdom

Keyword(s): Arrhythmia, Combinatorics, Electrocardiogram (ECG), Heart rate variability, Pattern matching.

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 ; Real-Time Systems ; Sensor Networks ; Soft Computing

Abstract: Three problems that arise from electrocardiogram (ECG) interpretation and analysis are presented, followed by algorithmic solutions based on a combinatorial model. First, the beat classification problem is discussed and possible solutions are investigated. Secondly, given the R R -intervals, which can be determined using this combinatorial model, or any Q R S detection algorithm, the heart rate is determined in a statistical manner from which sinus bradycardia and sinus tachycardia are inferred. Finally, a new combinatorial method formeasuring heart rate variability (HRV) is presented and an algorithm for detecting atrial fibrillation is described. The developed algorithms were implemented and tests were carried out on records from the MIT-BIH arrhythmia database. The results of the tests are presented and discussed.

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Paper citation in several formats:
Allali, J.; Ferraro, P.; S. Iliopoulos, C. and Michalakopoulos, S. (2010). COMBINATORIAL DETECTION OF ARRHYTHMIA. In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4; ISSN 2184-4305, pages 180-187. DOI: 10.5220/0002696501800187

@conference{biosignals10,
author={Julien Allali. and Pascal Ferraro. and Costas {S. Iliopoulos}. and Spiros Michalakopoulos.},
title={COMBINATORIAL DETECTION OF ARRHYTHMIA},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={180-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002696501800187},
isbn={978-989-674-018-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS, (BIOSTEC 2010)
TI - COMBINATORIAL DETECTION OF ARRHYTHMIA
SN - 978-989-674-018-4
IS - 2184-4305
AU - Allali, J.
AU - Ferraro, P.
AU - S. Iliopoulos, C.
AU - Michalakopoulos, S.
PY - 2010
SP - 180
EP - 187
DO - 10.5220/0002696501800187

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