Wavelet‐Based Analysis of Heart‐Rate‐Dependent ECG Features

摘要

Wavelet‐based methods of analyzing ECG signals have been used to identify specific features in cardiac arrhythmias. Since some of these features are rate dependent, it is a requirement that they are examined across a range of physiological heart rates. The wavelet transform is a signal analysis tool that can elucidate spectral and temporal information simultaneously from complex signals, including the ECG. The aim of this study was to identify the local frequency characteristics of the ECG using a real‐time wavelet scalogram and to study the rate dependence of these features.