title: Phase information of time-frequency transforms as a key feature for classification of atrial fibrillation episodes.
abstract: Patients suffering from atrial fibrillation can be classified into different subtypes, according to the temporal pattern of the arrhythmia and its recurrence. Nowadays, clinicians cannot differentiate a priori between the different subtypes, and patient classification is done afterwards, when its clinical course is available. In this paper we present a comparison of classification performances when differentiating paroxysmal and persistent atrial fibrillation episodes by means of support vector machines. We analyze short surface electrocardiogram recordings by extracting modulus and phase features from several time-frequency transforms: short-time Fourier transform, Wigner-Ville, Choi-Williams, Stockwell transform, and general Fourier-family transform. Overall, accuracy higher than 81% is obtained when classifying phase information features of real test ECGs from a heterogeneous cohort of patients (in terms of progression of the arrhythmia and antiarrhythmic treatment) recorded in a tertiary center. Therefore, phase features can facilitate the clinicians' choice of the most appropriate treatment for each patient by means of a non-invasive technique (the surface ECG).
authors: I.U. Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
authors: Nuria
authors: N
authors: Ortigosa
authors: Carmen
authors: C
authors: Fernández
authors: Antonio
authors: A
authors: Galbis
authors: Óscar
authors: Ó
authors: Cano
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019540:Area Under Curve; D001281:Atrial Fibrillation / Q000145:classification* / Q000150:complications / Q000188:drug therapy / Q000503:physiopathology*; D002317:Cardiovascular Agents / Q000627:therapeutic use; D015331:Cohort Studies; D004562:Electrocardiography / Q000379:methods*; D005583:Fourier Analysis; D006801:Humans; D006973:Hypertension / Q000150:complications / Q000188:drug therapy / Q000503:physiopathology; D008875:Middle Aged; D025341:Principal Component Analysis; D012372:ROC Curve; D012680:Sensitivity and Specificity; D060388:Support Vector Machine; D062606:Tertiary Care Centers
chemical_list: D002317:Cardiovascular Agents