New approach for T-wave peak detection and T-wave end location in 12-lead paced ECG signals based on a mathematical model

作者：Madeiro Joao P V^*; Nicolson William B; Cortez Paulo C; Marques Joao A L; Vazquez Seisdedos Carlos R; Elangovan Narmadha; Ng G Andre; Schlindwein Fernando S

来源：Medical Engineering & Physics, 2013, 35(8): 1105-1115.

DOI：10.1016/j.medengphy.2012.11.007

• T-wave peak
• T-wave end
• T-wave modelling
• Skewed Gaussian function
• Cross-correlation
• Paced electrocardiogram (paced ECG)

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.

• 出版日期2013-8