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http://bura.brunel.ac.uk/handle/2438/12936
Title: | Predicting the Percentage of Atrial Fibrillation using Sample Entropy |
Authors: | Abbod, M Shieh, JS |
Issue Date: | 2016 |
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 0.6057±0.0863, and its sample entropy is 0.3522±0.1509. The mean and SD for sample entropy at 100% AF is 1.0669±0.4521. 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%. |
URI: | http://bura.brunel.ac.uk/handle/2438/12936 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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Fulltext.doc | 270.5 kB | Microsoft Word | View/Open |
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