ATRIAL FIBRILLATION RECOGNITION ALGORITHM BASED ON GRAPHICAL METHODS

Atrial fibrillation is one of the most common and dangerous types of arrhythmias and can cause a stroke or even lead to death, so timely diagnosis of this disease is extremely important. Today, there are many algorithms for detection of atrial fibrillation, the accuracy of the best of them does not exceed 94.5 % [1]. This study presents a new approach to the analysis of cardiographic signals based on the study of patterns in the sequence and length of the RR intervals (the distance between the adjacent tops R-wave) ECG.

Authors: S. V. Motorina, A. N. Kalinichenko

Direction: Biotechnical systems in Medicine and Ecology

Keywords: Automated ECG analysis, atrial fibrillation, linear discriminant analysis

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