An application of wavelet transform and adaptive filters for decomposition of the HRV signals in the case of patients with coronary artery disease

The main aim of the paper is to present a new approach to the effective decomposition of 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 allows completely noninvasive distinguishing of the patients with different levels of coronary artery disease. Previously applied methods were either invasive or inaccurate, especially due to an inappropriate HRV signal model. This model was often a cause of errors leading to misinterpretation or even bad classification of the particular patient.