AN APPL WAVELET TRANSFORM AND A FILTERS FOR PTION OF THE HRV SIGNALS IN E OF PATIENTS WITH CORONARY ARTE

The main aim of the paper is to present a new approach to the effective decomposition of the HRV signals with the help of both the wavelet transform and adaptive filters. Several steps describing the process of HRV decomposition are presented. The major goal of the work is to obtain a method which allow completely noninvasive distinguish of the patients with different level of the coronary artery disease. Previously applied methods were either invasive or inaccurate, especially due to inappropriate HRV signal model. This model was often a reason of errors leading to misinterpretation or even bad classification of the particular patient.