Muammar Sadrawi, Bhekumuzi M. Mathunjwa, J. Shieh, K. Haraikawa, J. Chien, H. Guo, M. Abbod
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引用次数: 1
Abstract
Atrial fibrillation is the most commonly confronted cardiac arrhythmia in humans. This paper is written to use sample entropy and percentage of atrial fibrillation as a measure of regularity to measure AF. To assume the percentage of AF, 25 long-term ECG recordings of human subjects with atrial fibrillation containing a total of 299 AF episodes were processed. The mean and SD of percentage breaking point in all the subjects from the MIT-BIH Atrial Fibrillation database was 0.606±0.086, and its sample entropy is 0.352±0.151. The mean and SD for sample entropy at 100% AF is 1.067±0.452. This data is used to predict the percentage of AF at a given sample entropy value. Our study concludes that the early detection of AF can be initiated by the AF already happened for 60%.
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