Abstract:
:In this study, we propose a new classification method for early differentiation of paroxysmal and persistent atrial fibrillation episodes, i.e. those which spontaneously or with external intervention will return to sinus rhythm within 7 days of onset from the ones where the arrhythmia is sustained for more than 7 days. Today, clinicians provide patients classification once the course of the arrhythmia has been disclosed. This classification problem is dealt with in this study. We study a sparse representation of surface electrocardiogram signals by means of Gabor frames and afterwards we apply a linear discriminant analysis. Thus, we provide an early discrimination, obtaining promising performances on a heterogeneous cohort of patients in terms of pharmacological treatment and state of progression of the arrhythmia: 95% sensitivity, 82% specificity, 89% accuracy. In this manner, the proposed method can help clinicians to choose the most appropriate treatment using the electrocardiogram, which is a widely available and non-invasive technique. This early differentiation is clinically highly significant in order to choose optimal patients who may undergo catheter ablation with higher success rates.
journal_name
Med Eng Physjournal_title
Medical engineering & physicsauthors
Ortigosa N,Galbis A,Fernández C,Cano Ódoi
10.1016/j.medengphy.2016.10.013subject
Has Abstractpub_date
2017-01-01 00:00:00pages
31-37eissn
1350-4533issn
1873-4030pii
S1350-4533(16)30259-4journal_volume
39pub_type
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journal_title:Medical engineering & physics
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journal_title:Medical engineering & physics
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journal_title:Medical engineering & physics
pub_type: 杂志文章
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更新日期:1998-03-01 00:00:00
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pub_type: 杂志文章
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journal_title:Medical engineering & physics
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pub_type: 杂志文章
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journal_title:Medical engineering & physics
pub_type: 杂志文章,评审
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journal_title:Medical engineering & physics
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journal_title:Medical engineering & physics
pub_type: 杂志文章
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