Key result
Time-frequency analysis using the smoothed Wigner distribution and linear prediction revealed great differences in cardiac late potentials among three patient classes.
The use of smoothed Wigner distribution and linear prediction can enhance the detection of cardiac late potentials in ECG signals.
May enhance late-potential detection on ECG; hypothesis-generating and should not yet change practice.
Late potentials in patients with coronary artery disease and sustained ventricular arrhythmias have been detected using time and frequency domain methods and recently in the joint time-frequency domain using the Wigner-Ville distribution. Since electrocardiogram (ECG) signals are multicomponent and broadband, the smoothed Wigner distribution is used to represent the ECG signals in the time-frequency domain. Based on the assumption that late potentials are uncorrelated with the surrounding ECG, linear prediction is used as a tool to enhance the late potentials in a least-squares sense. Great differences between the three patient classes can be seen in the smoothed Wigner distribution.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Chitrapu et al. (2003) studied Coronary artery disease and sustained ventricular arrhythmias. Smoothed Wigner distribution and linear prediction was evaluated on Detection of cardiac late potentials. Time-frequency analysis using the smoothed Wigner distribution and linear prediction revealed great differences in cardiac late potentials among three patient classes.
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