Background: The detection of T-wave end points on electrocardiogram (ECG) is a\r\nbasic procedure for ECG processing and analysis. Several methods have been\r\nproposed and tested, featuring high accuracy and percentages of correct detection.\r\nNevertheless, their performance in noisy conditions remains an open problem.\r\nMethods: A new approach and algorithm for T-wave end location based on the\r\ncomputation of Trapezium�s areas is proposed and validated (in terms of accuracy\r\nand repeatability), using signals from the Physionet QT Database. The performance of\r\nthe proposed algorithm in noisy conditions has been tested and compared with one\r\nof the most used approaches for estimating the T-wave end point: the method\r\nbased on the threshold on the first derivative.\r\nResults: The results indicated that the proposed approach based on Trapezium�s\r\nareas outperformed the baseline method with respect to accuracy and repeatability.\r\nAlso, the proposed method is more robust to wideband noise.\r\nConclusions: The trapezium-based approach has a good performance in noisy\r\nconditions and does not rely on any empirical threshold. It is very adequate for use\r\nin scenarios where the levels of broadband noise are significant.
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