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Automatic Quantification of P-Wave Morphological Features

Automatic Quantification of P-Wave Morphological Features
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Author(s): Federica Censi (Istituto Superiore di Sanità, Italy), Giovanni Calcagnini (Istituto Superiore di Sanità, Italy), Eugenio Mattei (Istituto Superiore di Sanità, Italy), Michele Triventi (Istituto Superiore di Sanità, Italy)and Pietro Bartolini (Istituto Superiore di Sanità, Italy)
Copyright: 2008
Pages: 7
Source title: Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA)and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch019

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Abstract

Atrial fibrillation (AF) is the most frequently occurring sustained cardiac rhythm disturbance (Wolf, Mitchell, Baker, Kannel, & D’Agostino, 1998). Although relatively easy to diagnose by analysis of the surface ECG, AF has modalities, mechanisms, and predisposing conditions that still remain poorly understood. AF is not a direct life-threatening arrhythmia. However, because of the associated strong symptomatology, it frequently results in hospitalisation, physician visits, and drug therapy, hereby limiting the physical and social activities of many patients. It not only affects the quality of life, but it also increases the likelihood of prothrombotic effects and the risk for mortality because of cerebrovascular events or progressive ventricular dysfunction (Wolf et al., 1998).

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