Methodology for processing and analysis of diagnostic indicators electrocardiogram based on Labview

Abstract

Cardiovascular diseases occupy an important place all over the world, which necessitates the development of more effective modern means of their diagnosis and treatment. In this regard, this article is devoted to the development of algorithms and software for processing and analysis of electrocardiograms (ECG), as well as calculating heart rate and detecting arrhythmias based on Labview. “Methods of noise removal and wavelet transform are adopted as a mathematical apparatus for processing and analyzing ECGs to eliminate baseline deviations and extract ECG signs. The main attention is paid to the organization of the ECG database, the development of algorithms for converting the ECG database file into a useful format for Labview and processing the ECG signal with the removal of noise from the original ECG signal, extracting features for obtaining diagnostic ECG indicators, calculating the heart rate and detecting arrhythmias.