Classification of atrial fibrillation episodes using short ECG segments

被引：0

作者：

Ortigosa, Nuria ^{[1
]}

Cano, Scar ^{[2
]}

Andrs, Ana ^{[2
]}

Fernandez, Carmen ^{[3
]}

Galbis, Antonio ^{[3
]}

Ayala, Guillermo ^{[4
]}

机构：

[1] Univ Politecn Valencia, IU Matemt Pura & Aplicada, Camino Vera S-N, Valencia 46022, Spain

[2] Hosp Univ & Politcn La Fe, Inst Investigacin Sanitaria La Fe, Serv Cardiol, Valencia 46026, Spain

[3] Univ Valencia, Dept Math Anal, E-46100 Burjassot, Spain

[4] Univ Valencia, Dept Stat & Operat Res, E-46100 Burjassot, Spain

来源：

2014 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) | 2014年

关键词：

ASSOCIATION TASK-FORCE; SPONTANEOUS TERMINATION; AMERICAN-COLLEGE; PREDICTION; MANAGEMENT;

D O I：

暂无

中图分类号：

R-058 [];

学科分类号：

摘要：

This paper presents a method to classify different subtypes of atrial fibrillation episodes by analyzing short segments of electrocardiograms. We will process surface ECGs segments by time-frequency transforms to extract relevant features that will be used as input to a neural network classifier. As atrial fibrillation presents a progressive nature, this method can be a very useful tool in order to differentiate the progress of the arrythmia in each patient.

引用

页码：569 / 572

页数：4

共 14 条

[1] A General Description of Linear Time-Frequency Transforms and Formulation of a Fast, Invertible Transform That Samples the Continuous S-Transform Spectrum Nonredundantly [J].

Brown, Robert A. ;

Lauzon, M. Louis ;

Frayne, Richard .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (01) :281-290

[2] AN ALGORITHM FOR MACHINE CALCULATION OF COMPLEX FOURIER SERIES [J].

COOLEY, JW ;

TUKEY, JW .

MATHEMATICS OF COMPUTATION, 1965, 19 (90) :297-&

[3] ACC/AHA/ESC 2006 Guidelines for the Management of Patients With Atrial Fibrillation A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guidelines (Writing Committee to Revise the 2001 Guidelines for the Management of Patients With Atrial Fibrillation) Developed in Collaboration With the European Heart Rhythm Association and the Heart Rhythm Society [J].

Fuster, Valentin ;

Ryden, Lars E. ;

Cannom, David S. ;

Crijns, Harry J. ;

Curtis, Anne B. ;

Ellenbogen, Kenneth A. ;

Halperin, Jonathan L. ;

Le Heuzey, Jean-Yves ;

Kay, G. Neal ;

Lowe, James E. ;

Olsson, S. Bertil ;

Prystowsky, Eric N. ;

Tamargo, Juan Luis ;

Wann, Samuel .

CIRCULATION, 2006, 114 (07) :E257-E354

[4]

Hassoun MH., 1995, FUNDAMENTALS ARTIFIC

[5] Automated prediction of spontaneous termination of atrial fibrillation from electrocardiograms [J].

Hayn, D ;

Edegger, K ;

Scherr, D ;

Lercher, P ;

Rotman, B ;

Klein, W ;

Schreier, G .

Computers in Cardiology 2004, Vol 31, 2004, 31 :117-120

[6] Atrial fibrillation: classification, pathophysiology, mechanisms and drug treatment [J].

Markides, V ;

Schilling, RJ .

HEART, 2003, 89 (08) :939-943

[7]

Mcsharry P., 2006, Advanced methods and tools for ECG data analysis, V6, P18, DOI DOI 10.1186/1475-925X-6-18

[8]

Moody GB, 2004, COMPUT CARDIOL, V31, P101

[9] Raw data extraction from electrocardiograms with Portable Document Format [J].

Ortigosa, Nuria ;

Gimenez, Vicente M. .

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2014, 113 (01) :284-289

[10]

Rieta J., 2013, Applications of Signal Analysis to Atrial Fibrillation

← 1 2 →