Improved QT variability quantification by multilead automatic delineation

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