Various algorithms are used for automatic fibrillation detection [1, 2]. Each algorithm has specific advantages and disadvantages. The goal of this work was to suggest a complex algorithm of automatic fibrillation detection. This algorithm combines four methods of fibrillation detection and reduces their disadvantages to a minimal level. The sensitivity and specificity of the complex algorithm of automatic fibrillation detection is 94.3 and 98.4%, respectively. The sensitivity is the probability of correct detection of an event without fibrillation. The specificity is the probability of correct detection of a fibrillation event [3, 4].
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