Paroxysmal atrial fibrillation prediction based on HRV analysis and non-dominated sorting genetic algorithm III
This paper presents a method that able to predict the paroxysmal atrial fibrillation (PAF). The method uses shorter heart rate variability (HRV) signals when compared to existing methods, and achieves good prediction accuracy. PAF is a common cardiac arrhythmia that increases the health risk of a pa...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/81819/1/HaniMKhalil2018_ParoxysmalAtrialFibrillationPredictionBasedonHRV.pdf http://eprints.utm.my/id/eprint/81819/ http://dx.doi.org/10.1016/j.cmpb.2017.10.012 |
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