Three different algorithms for identifying patients suffering from atrial fibrillation during atrial fibrillation free phases of the ECG

Computers in Cardiology

Volumn 34, Issue , 2007, Pages 801-804

  Kikillus, N ^a,b   Hammer, G ^a   Lentz, N ^a   Stockwald, F ^a   Bolz, A ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b NONE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ATRIAL FIBRILLATIONS; NORMAL SINUS RHYTHMS; SENSITIVITY AND SPECIFICITIES; SINGLE CHANNEL ECG;

CARDIOLOGY; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES;

ALGORITHMS;

EID: 62949090602     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2007.4745607     Document Type: Conference Paper

References (4)

1. Furberg CD, Bsaty BM, Manolio TA, Gardin JM, Smith VE, Rautaharju PM. Prevalence of atrial fibrillation in elderly subjects (the Cardiovascular) Health Study. Am J Cardiol 1994; 74: 236-241.
2. Pan J, Tompkins W. A Real-Time QRS Detection Algorithm. IEEE Trans Biom Eng 1985; 32(3): 230-236.
3. Malik M. Heart Rate Variability Standards of Measurement, Physiological Interpretation, and Clinical Use. Circulation 1996; 93: 1043-1065.
4. Physionet [homepage on the internet]. Camebridge, MA: PhysioNet; [updated 2007 Sept. 01; cited 2007 March 27]. Available from: http://www.physionet.org/