Paroxysmal atrial fibrillation prediction method with shorter HRV sequences

This paper proposes a method that predicts the onset of paroxysmal atrial fibrillation (PAF), using heart rate variability (HRV) segments that are shorter than those applied in existing methods, while maintaining good prediction accuracy. PAF is a common cardiac arrhythmia that increases the health risk of a patient, and the development of an accurate predictor of the onset of PAF is clinical important because it increases the possibility to stabilize (electrically) and prevent the onset of atrial arrhythmias with different pacing techniques.

Source: Computer Methods and Programs in Biomedicine - July 10, 2016 Category: Bioinformatics Authors: K.H. Boon, M. Khalil-Hani, M.B. Malarvili, C.W. Sia Source Type: research