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Man, S., De Winter, P.V., Maan, A.C., Thijssen, J., Borleffs, C.J. van Meerwijk, W.P., Bootsma, M., van Erven, L., van der Wall, E.E., Schalij, M.J., Burattini, L., Burattini, R. and Swenne, C.A. (2011) Predictive Power of T-Wave Alternans and of Ventricular Gradient 2 Hysteresis for the Occurrence of Ventricular Arrhythmias in Primary Prevention ICD Patients. Journal of Electrocardiology, 44, 453-459. http://dx.doi.org/10.1016/j.jelectrocard.2011.05.004

has been cited by the following article:

• TITLE: Adaptive Match-Filtering: A Biomedical Application to Identify T-Wave Alternans

  AUTHORS: Laura Burattini, Giovanni Ottaviano, Francesco Di Nardo, Sandro Fioretti

  KEYWORDS: Adaptive Filtering, Digital ECG, T-Wave Alternans, Sudden Cardiac Death

  JOURNAL NAME: Natural Science, Vol.6 No.10, June 18, 2014

  ABSTRACT: T-wave alternans (TWA), consisting in an alternation of the electrocardiographic (ECG) repolarization segment (T-wave), is a promising index of the risk of sudden cardiac death. By definition, it is characterized by a frequency component, termed fTWA, that matches half heart rate. The heart-rate adaptive match filter (AMF) based method is a technique for automatic TWA identification from the digital ECG. Aim of the present study was to provide a complete technical description of the filter able to explain its methodological principles. The AMF is usually realized as a 6th order Butterworth filter with a narrow (0.12 Hz) passing band centered in fTWA. It is applied in a bidirectional fashion, so that final filtering order is 12. While extracting the TWA component, the AMF simultaneously filters out every ECG component including noise and artefacts, and thus results are very robust. Goodness of the technique was tested using 8 synthetic ECG tracings corrupted by typical noisy factors, such as white random noise, baseline wanderings, heart-rate variability, and others. Six ECG tracings were affected by 100 μV TWA, whereas two were not. Results indicate that the AMF-based method is able to prevent false-positive and false-negative detections and, thus, represents a useful tool for a reliable TWA identification.