Iterative Method to Detect Atrial Activations and Measure Cycle Length From Electrograms During Atrial Fibrillation

Atrial fibrillation (AF) electrograms are characterized by varying morphologies, amplitudes, and cycle lengths (CLs), presenting a challenge for automated detection of individual activations and the activation rate. In this study, we evaluate an algorithm to detect activations and measure CLs from A...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 61; H. 2; S. 273 - 278
Hauptverfasser:	Ng, Jason, Sehgal, Vinod, Ng, Justin K., Gordon, David, Goldberger, Jeffrey J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.02.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Approximation algorithms Atrial Fibrillation - physiopathology Biomedical signal processing cardiology Educational institutions electrocardiography Electrocardiography - methods Electronic mail Estimation Female fibrillation Heart - physiopathology Humans Male Manuals Middle Aged Models, Statistical Signal Processing, Computer-Assisted
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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