| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4958286 | Computer Methods and Programs in Biomedicine | 2016 | 8 Pages |
Abstract
This study found that 4âs is the most appropriate windowing length, using two features (Ï and u) for AF detection with an accuracy of 95.3%. Moreover, the pattern recognition learning machine uses an ANN with 10-fold cross validation based on DS.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Nurul Ashikin Abdul-Kadir, Norlaili Mat Safri, Mohd Afzan Othman,