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Authors: Hamza Baali ; Rini Akmeliawati and Momoh J. E. Salami

Affiliation: International Islamic University Malaysia (IIUM), Malaysia

Keyword(s): Arrhythmia Classification, Aami, ECG, PVC, RLSC, Transformation.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Model Design and Evaluation ; Pattern Recognition, Clustering and Classification ; Structure Prediction

Abstract: An algorithm for arrhythmia classification is presented with emphasis on the discrimination between normal and premature ventricular contraction (PVC) conditions. We derived new features from the transformed ECG signal resulting from the linear predictive analysis of the ECG heartbeats and from the LPC filter impulse response matrix. These features in conjunction with the residual error energy and RR-intervals are fed into the Regularized Least Squares Classifier (RLSC) with radial basis kernel. The proposed features show an acceptable separation capability between the two classes. Two scenarios are investigated using selected records taken from the MIT-Arrhythmia database namely, intra-patient and inter-patient classification. The achieved results are 98.18 sensitivity and 99.02 specificity in average for the first scenario (intra-patient) and 95.18 sensitivity and 96.92 specificity in average for the second scenario (inter-patient).

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Paper citation in several formats:
Baali, H.; Akmeliawati, R. and J. E. Salami, M. (2013). Regularized Least Squares Applied to Heartbeat Classification using Transform-based and RR Intervals Features. In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2013) - BIOINFORMATICS; ISBN 978-989-8565-35-8; ISSN 2184-4305, SciTePress, pages 164-170. DOI: 10.5220/0004242101640170

@conference{bioinformatics13,
author={Hamza Baali. and Rini Akmeliawati. and Momoh {J. E. Salami}.},
title={Regularized Least Squares Applied to Heartbeat Classification using Transform-based and RR Intervals Features},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2013) - BIOINFORMATICS},
year={2013},
pages={164-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004242101640170},
isbn={978-989-8565-35-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2013) - BIOINFORMATICS
TI - Regularized Least Squares Applied to Heartbeat Classification using Transform-based and RR Intervals Features
SN - 978-989-8565-35-8
IS - 2184-4305
AU - Baali, H.
AU - Akmeliawati, R.
AU - J. E. Salami, M.
PY - 2013
SP - 164
EP - 170
DO - 10.5220/0004242101640170
PB - SciTePress

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