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The Scientific World Journal
Volume 2013, Article ID 509784, 4 pages
Research Article

Nonlinear Analysis of Electrocardiography Signals for Atrial Fibrillation

Department of Electrical and Electronics Engineering, Faculty of Architecture and Engineering, Batman University, 72060 Batman, Turkey

Received 23 January 2013; Accepted 23 April 2013

Academic Editors: D. Dembele, F. Mao, and C. Yanover

Copyright © 2013 Necmettin Sezgin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Patrizia Vizza, Antonio Curcio, Giuseppe Tradigo, Ciro Indolfi, and Pierangelo Veltri, “A framework for the atrial fibrillation prediction in electrophysiological studies,” Computer Methods and Programs in Biomedicine, 2015. View at Publisher · View at Google Scholar
  • Nicky J Welton, Alexandra McAleenan, Howard HZ Thom, Philippa Davies, Will Hollingworth, Julian PT Higgins, George Okoli, Jonathan AC Sterne, Gene Feder, Diane Eaton, Aroon Hingorani, Christopher Fawsitt, Trudie Lobban, Peter Bryden, Alison Richards, and Reecha Sofat, “Screening strategies for atrial fibrillation: a systematic review and cost-effectiveness analysis,” Health Technology Assessment, vol. 21, no. 29, pp. 1–236, 2017. View at Publisher · View at Google Scholar
  • Necmettin Sezgin, “A new hand finger movements’ classification system based on bicoherence analysis of two-channel surface EMG signals,” Neural Computing and Applications, 2017. View at Publisher · View at Google Scholar
  • Necmettin Sezgin, Ömer Faruk Ertuǧrul, Mehmet Emin Taǧluk, and Ramazan Tekin, “Classification of hand opening/closing and fingers by using two channel surface EMG signal,” IDAP 2017 - International Artificial Intelligence and Data Processing Symposium, 2017. View at Publisher · View at Google Scholar