Canonical mathematical model and information technology for cardio-vascular diseases diagnostics

This paper is devoted to the development of mathematical model and information technology for computer analysis of medical diseases based on investigations of cardiograms. Authors propose to use cardiogram recognition algorithm which is synthesized on the mathematical base of nonlinear canonical decomposition of random sequence. The automation process of cardiograms recognition, analysis, classification and decision-making is described in details for the diagnosis of cardio-vascular diseases. The proposed approach can be applied in medical hospitals and clinics for increasing efficiency of medical diagnostics, including decreasing time and rising accuracy of information processing.