Predicting the onset of paroxysmal atrial fibrillation: The computers in cardiology challenge 2001

Computers in Cardiology

Volumn , Issue , 2001, Pages 113-116

  Moody, G B ^a   Goldberger, A L ^b   McClennen, S ^b   Swiryn, S P ^c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; COMPUTER APPLICATIONS; DATABASE SYSTEMS; ELECTROCARDIOGRAPHY;

ATTRIAL ARRHYTHMIAS; PAROXYMAL ATRIAL FIBRILLATION; PHYSIONET;

CARDIOLOGY;

EID: 0035716753     PISSN: 02766574     EISSN: None     Source Type: Journal    
DOI: 10.1109/CIC.2001.977604     Document Type: Article

References (12)

1. Stimulating rapid research advances via focused competition: The computers in cardiology challenge 2000
2. Simple electrocardiographic markers for the prediction of paroxysmal idiopathic atrial fibrillation
3. Signal-averaged P-wave abnormalities and atrial size in patients with and without idiopathic paroxysmal atrial fibrillation
4. Signal-averaged P-wave duration does not predict atrial fibrillation after thoracic surgery
5. Altered complexity and correlation properties of R-R interval dynamics before the spontaneous onset of paroxysmal atrial fibrillation
6. Analysis of the cardiac rhythm preceding episodes of paroxysmal atrial fibrillation
7. Modes of initiation of paroxysmal atrial fibrillation: An analysis of 157 spontaneously occurring episodes using 12-lead Holter monitoring
8. Prevalence, age distribution, and gender of patients with atrial fibrillation
9. Clinical features of paroxysmal atrial fibrillation: An observation of 94 patients
10. Acute effects of dual-site right atrial pacing in patients with spontaneous and inducible atrial flutter and fibrillation
11. Management of atrial fibrillation: Therapeutic options and clinical decisions
12. PhysioNet: A research resource for studies of complex physiologic and biomedical signals