ECG Signals Processing by Using Wavelet Analysis: Diagnostic Capabilities

The problem of recognition and classification biomedical signals is a complex related to the interdisciplinary field computer science medicine. Within framework project implementation development new defibrillation equipment, it necessary solve problems analyzing electrocardiogram obtain diagnostic solution with possibility assigning specific condition pathological patient. This article presents analysis signals, considering technical aspects multicomponent describes wavelet ECG signals. paper considers limited tools signal, in particular, limitation parametric data. Wavelet may significantly expand transfer them into time-frequency domain. Thus, use various basic functions transform leads determination additional diagnostically significant information formalized parameters extracted from scalogram.