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The monograph deals with the issues of improving the quality of electrocardiographic systems through optimization of methods of digital processing and intelligent analysis of electrocardiographic signals. The paper proposes informative criteria and methods for evaluating the quality of signal filtering algorithms, develops an effective multistage algorithm for noise suppression and forms a general approach to the selection of significant informative features for the diagnosis of myocardial infarction using electrocardiographic signal recordings in one lead.The solutions proposed in the monograph open up opportunities for building mobile analyzers of electrocardio-signals as part of medical info-communication systems. Such analyzers are able to perform automated express diagnostics of cardiovascular system diseases by means of self-learning intelligent algorithms. The proposed methods of digital filtering simplify the structure with the expansion of the dynamic range of recording electrocardiographic equipment.
About the author
Galina Savostina, doctora en Radioingeniería, Electrónica y Telecomunicaciones. Es profesora asociada del Departamento de "Ingeniería Energética y Radioelectrónica" de la Universidad del Norte de Kazajstán que lleva el nombre de M. Kozybaev. Los intereses científicos de la autora se centran en el campo del procesamiento intelectual y digital de señales biomédicas humanas.
