IMPROVING THE EFFICIENCY OF DIGITAL SIGNAL PROCESSING ALGORITHMS IN BIOMEDICAL ARTIFICIAL INTELLIGENCE

Abstract

Scientific and practical research is rapidly developing in the field of the role of artificial intelligence in algorithms for digital processing of biomedical signals and ways to improve their efficiency. Biomedicine signaling is a complex and multifaceted source of information that reflects various physiological processes of the body. The correct analysis of these signals, their digitization and subsequent use of efficient algorithms in operation are decisive in ensuring advances in diagnostics and therapeutics. Artificial intelligence technologies, on the other hand, take traditional digital signal processing methods to a new level and make it possible to significantly increase their efficiency.