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Computers in Cardiology, 2005

DOI: 10.1109/cic.2005.1588148

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Improved QT variability quantification by multilead automatic delineation

Proceedings article published in 2005 by R. Almeida, J. P. Martinez, A. P. Rocha, S. Olmos, P. Laguna ORCID
This paper is available in a repository.
This paper is available in a repository.

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Abstract

In this work we evaluate the joint robustness of a multilead delineation and a parametric approach to study the relations between HRV and QTV. The performance of the automatic system is studied over simulated 3-lead ECG signals in order to quantify the improvement allowed by the multilead delineation. Respiratory effect and contamination with realistic noise extracted from a real ECG, rescaled to obtain SNR levels from 30 to 5 dB, were also considered. Compared with same parametric methods over RR and QT series measured from a single lead based approach, the multilead delineator allows to reduce the error in QTV quantification, in particular the error bias in signals at SNR=20 dB. It improves the joint performance facing realistic 3 lead noise at SNRges20 dB, remarkably around 20 dB, making it usable for ECG signals with QTV levels corresponding to a QT standard deviationges13 ms