Multiscale Analysing Methods in Electrocardiogram Signal Processing and Interpretation

Multiscale analysis is a fundamental theoretical approach in several engineering disciplines including signal and image processing and interpretation. This paper presents briefly the use of multiresolution and multiscale analysis as wavelet transform and spectral analysis in detecting and interpreting specific features of electrocardiogram (ECG) signals. The continuous wavelet transform based scalogram and the power spectral density based periodogram are presented as valuable tools in arrhythmia detection and interpretation. Specific signals from dedicated databases are used; the computational tasks are performed in Matlab environment using suitable toolboxes.