ECG ARTEFACT DETECTION ALGORITHM - An Algorithm to Improve Long-term ECG Analysis

Susana Brás, Nuno Ferreira, João Paulo Silva Cunha

Abstract

Newly devices allow the analysis and collection of very long-term electrocardiogram (ECG). However, associated with this devices and long-term signal, are artefacts that conduce to misleading interpretations and diagnosis. So, new developments over automatic ECG classification are needed for a reliable interpretation. The feasibility of the cardiac systems is one of the main concerns, once they are currently used as diagnosis or help systems. In this project, an artefact detection algorithm is developed, dividing the time-series in intervals of signal and artefact. The algorithm is based on the assumption that, if the analysed frame is signal, there is not an abrupt alteration over consecutive short windows. So, the time-series is divided in consecutive nonoverlapped short windows. Over these windows, it is calculated the time-series standard deviation, the maximum and minimum slope. A threshold-based rule is applied, and the algorithm reveals that, in mean, it is verified a 99.29% of correctly classified signal and only 0.71% of signal erroneously classified. Over the results obtained, the algorithm seems to present good results, however it is needed its validation in a wider and representative sample with segments marked as artefact by multiple specialists.

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Paper Citation


in Harvard Style

Brás S., Ferreira N. and Silva Cunha J. (2012). ECG ARTEFACT DETECTION ALGORITHM - An Algorithm to Improve Long-term ECG Analysis . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 329-333. DOI: 10.5220/0003729503290333


in Bibtex Style

@conference{biosignals12,
author={Susana Brás and Nuno Ferreira and João Paulo Silva Cunha},
title={ECG ARTEFACT DETECTION ALGORITHM - An Algorithm to Improve Long-term ECG Analysis},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={329-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003729503290333},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - ECG ARTEFACT DETECTION ALGORITHM - An Algorithm to Improve Long-term ECG Analysis
SN - 978-989-8425-89-8
AU - Brás S.
AU - Ferreira N.
AU - Silva Cunha J.
PY - 2012
SP - 329
EP - 333
DO - 10.5220/0003729503290333