Atrial flutter and atrial tachycardia detection using Bayesian approach with high resolution timefrequency spectrum from ECG recordings
We introduce a novel method for automatic detection of AFL and AT. We use Bayesian approach followed by high resolution timefrequency spectrum. We found TQ interval of ECG by using a particle filter. For classifications of AFL, AT and NSR, we found that our approach resulted in accuracies of 0.89, 0.87 and 0.91. Our approach tracks the time-varying fundamental frequency of atrial activity with high-resolution timefrequency.
atrial flutter atrial tachycardia high resolution timefrequency spectrum particle filter dynamic ecg model variable frequency complex demodulation electrocardiogram