Intelligent Analysis of Biomedical Signals for Personal Identification and Life Support Systems

Abstract The development of instruments and automatic biomedical signals analysis systems is associated with creation of high-tech software that implements modern methods of pattern recognition and artificial intelligence. In this paper, we considered three problems connected with intellectual analysis of biomedical signals. A developed means of identifying a person using only one standard electrocardiographic lead is presented. New algorithms for recognition of several classes of dangerous arrhythmias have been developed and investigated in order to prevent catastrophic events in the course of continuous monitoring of the patient’s state by ECG. This study also describes a method and an algorithm for automatic estimation of the anesthesia depth by the parameters of the approximated entropy of the EEG signal. The results of the work are used in the design of intelligent biomedical systems.