Title :
Distant prediction of paroxysmal atrial fibrillation using HRV data analysis
Author :
Chesnokov, Y.V. ; Holden, A.V. ; Zhang, H.
Author_Institution :
Kuban State Univ., Krasnodar
fDate :
Sept. 30 2007-Oct. 3 2007
Abstract :
The idea of this research is to determine how long in advance can we predict the onset of paroxysmal atrial fibrillation (PAF) from the HRV data. Having established such methods with great confidence it is possible to avert the PAF onset using pacing techniques, thus reliving patient pains.
Keywords :
bioelectric phenomena; electrocardiography; medical signal processing; neural nets; HRV data analysis; PAF onset prediction; heart rate variability; pacing techniques; paroxysmal atrial fibrillation distant prediction; Artificial neural networks; Atrial fibrillation; Data analysis; Databases; Electrocardiography; Frequency estimation; Heart rate variability; Neurons; Spectral analysis; Testing;
Conference_Titel :
Computers in Cardiology, 2007
Conference_Location :
Durham, NC
Print_ISBN :
978-1-4244-2533-4
Electronic_ISBN :
0276-6547
DOI :
10.1109/CIC.2007.4745520
