Wavelet Entropy Analysis of the High Resolution ECG
B. Natwong, Pitikhate Sooraksa, Chuchart Pintavirooj, S. Bunluechokchai, Weerasak Ussawawongaraya · 2006
The high resolution ECG (HRECG) is a method of detecting microvolt cardiac signals from patients who have myocardial infarction. These signals are called ventricular late potentials (VLPs). They appear as fractionated signals with irregularity in shape on the body surface. In this study, the continuous wavelet transform (CWT) and the discrete wavelet transform (DWT) were used for analysis of the HRECG from the patients with and without VLPs. Then the wavelet entropy was applied to the HRECG. A disordered behavior of the system provides a high entropy value. Observations of the preliminary results in this study showed that the HRECG of patients with VLPs seems to have higher wavelet entropy than those without. In addition, the energy based on the CWT coefficient was computed. It was shown that the patient with VLPs would appear to have lower energy within the terminal QRS complex than the patient without