Ventricular Arrhythmia Nonlinear Analysis

This paper presents a new nonlinear method to analyse ventricular arrhythmia (ventricular flutter (VFL), ventricular fibrillation(VF) and ventricular tachycardia(VT)) mixed in sinus rhythms(SR) from the raw electrocardiogram (ECG) data. The method has a three step processing. First, calculating the slope of permutation entropy (PE) to detect the onset of ventricular arrhythmia; Second, using regularization dimension(RD) to classify SR, VFL and VT/VF; Finally, according to multifractal spectrum(MS) area to distinguish VT and VF. Four databases are used to detect the method, and the accuracy of every step is 93.33%, 100% and 98% As a whole, the accuracy of detecting onset of ventricular arrhythmia and confirming which ventricular arrhythmia is, is VFL 93.33%, VT and VF 91.47%.