Nonlinear detection of T-wave alternans

Computers in Cardiology

Volumn 35, Issue , 2008, Pages 769-772

  Vaananen H ^a,b  

^a AALTO UNIVERSITY   (Finland)

^b NONE   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTIONS; NON-LINEAR DETECTIONS; RANK STATISTICS;

CARDIOLOGY;

EID: 62249153983     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2008.4749155     Document Type: Conference Paper

References (8)

1. Armoundas AA, Tomaselli GF, Esperer HD. Pathophysiological basis and clinical application of T-wave alternans. JACC 2002;40:207-217
2. Martínez JP, Olmos S. Methodological Principles of T-wave alternans: a unified framework. IEEE Trans Biomed Eng 2005;52:599-613
3. Rosenbaum DS, Jackson LE, Smith JM, Garan H, Ruskin JN, Cohen RJ. Electrical alternans and vulnerability to ventricular arrhytimias. N. Engl. J. Med 1994:330;235-241
4. Nearing BD, Verrier RL. Modified moving average analysis of T-wave alternans to predict ventricular fibrillation with high accuracy. J. Appl. Physiol. 2002;92:541-549.
5. Burattini L, Zareba W, Couderc JP, Titlebaum EL, Moss AJ. Computer detection of nonstationary T-wave alternans using a newcorrelative method. Comput. Cardiol 1997:24;657-660.
6. PhysioNet/Computers in Cardiology Challenge 2008: Detecting and Quantifying T-Wave Alternans. http://physionet.org/challenge/2008/
7. T-Wave Alternans Challenge Database. http://physionet.org/pn3/twadb/.
8. Oikarinen L, Paavola M, Montonen J, et al. Magnetocardiographic QT interval dispersion in postmyocardial infarction patients with sustained ventricular tachycardia: validation of automated QT measurements. Pacing Clin Electrophysiol. 1998;21:1934-1942.