ECG P-WAVE SMOOTHING AND DENOISING BY QUADRATIC VARIATION REDUCTION

Antonio Fasano, Valeria Villani, Luca Vollero, Federica Censi

2011

Abstract

Atrial fibrillation is the most common persistent cardiac arrhythmia and it is characterized by a disorganized atrial electrical activity. Its occurrence can be detected, and even predicted, through P-waves time-domain and morphological analysis in ECG tracings. Given the low signal-to-noise ratio associated to P-waves, such analysis are possible if noise and artifacts are effectively filtered out from P-waves. In this paper a novel smoothing and denoising algorithm for P-waves is proposed. The algorithm is solution to a convex optimization problem. Smoothing and denoising are achieved reducing the quadratic variation of the measured P-waves. Simulation results confirm the effectiveness of the approach and show that the proposed algorithm is remarkably good at smoothing and denoising P-waves. The achieved SNR gain exceeds 15 dB for input SNR below 6 dB. Moreover the proposed algorithm has a computational complexity that is linear in the size of the vector to be processed. This property makes it suitable also for real-time applications.

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Paper Citation


in Harvard Style

Fasano A., Villani V., Vollero L. and Censi F. (2011). ECG P-WAVE SMOOTHING AND DENOISING BY QUADRATIC VARIATION REDUCTION . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 289-294. DOI: 10.5220/0003169202890294

in Bibtex Style

@conference{biosignals11,
author={Antonio Fasano and Valeria Villani and Luca Vollero and Federica Censi},
title={ECG P-WAVE SMOOTHING AND DENOISING BY QUADRATIC VARIATION REDUCTION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={289-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003169202890294},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - ECG P-WAVE SMOOTHING AND DENOISING BY QUADRATIC VARIATION REDUCTION
SN - 978-989-8425-35-5
AU - Fasano A.
AU - Villani V.
AU - Vollero L.
AU - Censi F.
PY - 2011
SP - 289
EP - 294
DO - 10.5220/0003169202890294