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|Title:||New Approach for T-Wave Peak Detection and T-Wave End Location in 12-lead Paced ECG Signals based on a Mathematical Model|
|Authors:||Madeiro, João P.V.|
Nicolson, William B.
Cortez, Paulo C.
Marques, João A.L.
Vázquez-Seisdedos, Carlos R.
Ng, G. André
Schlindwein, Fernando Soares
|Publisher:||Elsevier on behalf of the Institute of Physics and Engineering in Medicine (IPEM)|
|Citation:||Medical Engineering & Physics, 2012, in press, available online in advance of print|
|Abstract:||This paper presents an innovative approach for T-wave peak detection and subsequent T-wave end location in 12-lead paced ECG signals based on a mathematical model of a skewed Gaussian function. Following the stage of QRS segmentation, we establish search windows using a number of the earliest intervals between each QRS offset and subsequent QRS onset. Then, we compute a template based on a Gaussian-function, modified by a mathematical procedure to insert asymmetry, which models the T-wave. Cross-correlation and an approach based on the computation of Trapezium's area are used to locate, respectively, the peak and end point of each T-wave throughout the whole raw ECG signal. For evaluating purposes, we used a database of high resolution 12-lead paced ECG signals, recorded from patients with ischaemic cardiomyopathy (ICM) in the University Hospitals of Leicester NHS Trust, UK, and the well-known QT database. The average T-wave detection rates, sensitivity and positive predictivity, were both equal to 99.12%, for the first database, and, respectively, equal to 99.32% and 99.47%, for QT database. The average time errors computed for T-wave peak and T-wave end locations were, respectively, −0.38 ± 7.12 ms and −3.70 ± 15.46 ms, for the first database, and 1.40 ± 8.99 ms and 2.83 ± 15.27 ms, for QT database. The results demonstrate the accuracy, consistency and robustness of the proposed method for a wide variety of T-wave morphologies studied.|
|Rights:||Copyright © 2012 IPEM. Published by Elsevier Ltd. Deposited with reference to the publisher's archiving policy available on the SHERPA/RoMEO website. NOTICE: this is the author’s version of a work that was accepted for publication in Medical Engineering & Physics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published online in advance of print in Medical Engineering & Physics, 2013, DOI#: 10.1016/j.medengphy.2012.11.007|
|Appears in Collections:||Published Articles, Dept. of Engineering|
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|MEP_PaperMadeiro_PacedECG_TWave_PosReviews_Clean3.pdf||Post-review (final submitted)||1.11 MB||Adobe PDF||View/Open|
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