Separable Windowed Discrete Time-Frequency Signal Analysis and Processing Techniques for ECG Arrhythmia Signals

摘要

A non-stationary ECG signal was analyzed using time-frequency distributions to enhance diagnostic efficiency. The time-frequency distributions were formulated using discrete Wigner-Ville distribution with various windowing techniques. Various time-frequency distributions techniques such as discrete pseudo-Wigner-Ville distribution, separable discrete Lag-Independent smoothed Wigner-Ville distribution, separable discrete Doppler-Independent smoothed Wigner-Ville distribution and separable discrete smoothed pseudo-Wigner-Ville distribution were developed to analyze supra-ventricular and malignant ventricular ECG arrhythmia signals. The performance of the time-frequency distributions was evaluated through energy distribution and time-frequency resolution. The discrete pseudo-Wigner-Ville distribution was computed in the time-lag domain, which gave low resolution in the time....