Wimalaguna Kodituwakku, Sandun; Abhayapala, Thushara; Kennedy, Rodney
We propose a Bessel kernel based time frequency distribution technique for identification and tracking of spectrum of Atrial Fibrillation (AF) in ECG. The algorithm shows a good frequency resolution and a low RMS error even when the noise dominates the signal which is critical for detecting the low amplitude AF activity within the ECG. In comparison with other time frequency distributions, the Bessel kernel reduces cross terms between frequencies in the multi-component ECG signal. Superiority...[Show more]
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