ECG analysis based on Hilbert transform descriptor

The authors used the Fourier descriptors (FD) of an electrocardiogram (ECG) and a synthetic vectorcardiogram (SVCG) to classify normal beat and premature ventricular contraction (PVC). They find that the magnitude of these descriptors decreases rapidly for higher-order harmonics, and the major shape information of SVCG is contained in a few of these descriptors. The distinction between a normal beat and PVC is very clear. They can efficiently classify normal beats and PVCs by just a few Fourier coefficients. The original SVCG can be reconstructed from few descriptors, results in a significant data compression. Five files of the MIT-BIH arrhythmia database were used for evaluation of this method. The accuracy of PVC detection is 98.77%.<
>