Abstract
BackgroundThe detection of T-wave end points on electrocardiogram (ECG) is a basic procedure for ECG processing and analysis. Several methods have been proposed and tested, featuring high accuracy and percentages of correct detection. Nevertheless, their performance in noisy conditions remains an open problem.MethodsA new approach and algorithm for T-wave end location based on the computation of Trapezium's areas is proposed and validated (in terms of accuracy and repeatability), using signals from the Physionet QT Database. The performance of the proposed algorithm in noisy conditions has been tested and compared with one of the most used approaches for estimating the T-wave end point: the method based on the threshold on the first derivative.ResultsThe results indicated that the proposed approach based on Trapezium's areas outperformed the baseline method with respect to accuracy and repeatability. Also, the proposed method is more robust to wideband noise.ConclusionsThe trapezium-based approach has a good performance in noisy conditions and does not rely on any empirical threshold. It is very adequate for use in scenarios where the levels of broadband noise are significant.
Highlights
The detection of T-wave end points on electrocardiogram (ECG) is a basic procedure for ECG processing and analysis
The QT or RT intervals depend on the accuracy with which both points are determined, especially of the T-wave end (Tend) due to the slow transition in the signal around this point, eventually contaminated by noise and interference on ECG signal
The aim of this paper is to propose a new approach for the location of T-wave end, and show its high performance in presence of noise using several morphologies of real signals from QT Database (QTDB) [17]
Summary
The detection of T-wave end points on electrocardiogram (ECG) is a basic procedure for ECG processing and analysis. Several methods have been proposed and tested, featuring high accuracy and percentages of correct detection. Their performance in noisy conditions remains an open problem. One of them is the beat-to-beat analysis of the time intervals between the Q-wave onset and the T-wave end or interval QT (see Figure 1) during periods of time, typically, from 5 min to 24 hours. The QT or RT intervals depend on the accuracy with which both points (onset and offset) are determined, especially of the T-wave end (Tend) due to the slow transition in the signal around this point, eventually contaminated by noise and interference on ECG signal
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