Regularized Least Squares Applied to Heartbeat Classification using Transform-based and RR Intervals Features

Hamza Baali, Rini Akmeliawati, Momoh J. E. Salami

2013

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).

Paper Citation

in Harvard Style

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 - Volume 1: BIOINFORMATICS, (BIOSTEC 2013) ISBN 978-989-8565-35-8, pages 164-170. DOI: 10.5220/0004242101640170

in Bibtex Style

@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 - Volume 1: BIOINFORMATICS, (BIOSTEC 2013)},
year={2013},
pages={164-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004242101640170},
isbn={978-989-8565-35-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2013)
TI - Regularized Least Squares Applied to Heartbeat Classification using Transform-based and RR Intervals Features
SN - 978-989-8565-35-8
AU - Baali H.
AU - Akmeliawati R.
AU - J. E. Salami M.
PY - 2013
SP - 164
EP - 170
DO - 10.5220/0004242101640170