A probability density function method for detecting atrial fibrillation using R–R intervals

Author:

Hong-wei Lu,Ying Sun,Min Lin,Pi-ding Li,Zheng Zheng

Publisher

Elsevier BV

Subject

Biomedical Engineering,Biophysics

Reference11 articles.

1. Robust detection of atrial fibrillation for a long-term telemonitoring system;Logan;Computers in Cardiology,2005

2. Automatic detection of atrial fibrillation using the coefficient of variation and density histograms of RR and ΔRR intervals;Tateno;Medical & Biological Engineering & Computing,2001

3. Artis SG, Mark RG, Moody GB. Detection of atrial fibrillation using artificial neural networks. Computers in Cardiology 1991;Proceedings, 173–176.

4. Comparative study of a Hidden Markov Model detector for atrial fibrillation;Young;Neural Networks Signal Processing IEEE,1999

5. A method for detection of atrial fibrillation using R–R intervals;Tateno;Computers in Cardiology,2000

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