Scientific journal
Scientific Review. Technical science
ISSN 2500-0799
ПИ №ФС77-57440

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COMPUTERIZED DIAGNOSTICS OF ISCHEMIA BASED ON ECG LOCALLY EXTREME FEATURES IDENTIFICATION

Romm Y.E. 1 Sokolov I.N. 1
1 Taganrog State Pedagogical Institute named after A.P. Chehov
In this article the method of computer diagnosis of coronary heart disease based on the approximation of isoline and identify points j in the processing of digital electrocardiograms (ECG ) is present. The approach to software identification of diagnostic features is based on the selection of extreme elements of the ECG with the aid of sorting algorithm. The processing of the ECG is performed by divided analyzed ECG leads into R-R intervals. The software methods for isoline approaching by identifying the characteristics and under extreme angles tangent to the graph of the ECG are represented. The numerical parameters of the method, the evaluation of reliability and quality of the diagnosis are in the diagnostic process automatically detects. The method is focused on the processing of large quantities of ECG to the provisional diagnosis of coronary artery disease and is designed to support decision-making cardiologist establishing the final diagnosis. The most significant components of the software implementation of the method are expounded. The application is illustrated by examples of workable ECG processing.