Prediction of countershock success using single features from multiple ventricular fibrillation frequency bands and feature combinations using neural networks

Resuscitation

Volumn 73, Issue 2, 2007, Pages 253-263

  Neurauter, Andreas ^a   Eftestøl, Trygve ^b   Kramer Johansen, Jo ^c   Abella, Benjamin S ^d   Sunde, Kjetil ^c   Wenzel, Volker ^a   Lindner, Karl H ^a   Eilevstjønn, Joar ^e   Myklebust, Helge ^e   Steen, Petter A ^c   Strohmenger, Hans Ulrich ^a  

^a INNSBRUCK MEDICAL UNIVERSITY   (Austria)

^b UNIVERSITY OF STAVANGER   (Norway)

^c Pre hospital Division   (Norway)

^d UNIVERSITY OF CHICAGO MEDICAL CENTER   (United States)

^e Laerdal Medical AS   (Norway)

Author keywords

Electrocardiography; Neural networks; Outcome prediction; Slope; Ventricular fibrillation

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; BAND PASS FILTER; CARDIOVERSION; CLINICAL FEATURE; ELECTROCARDIOGRAPHY MONITORING; FILTER; HEART VENTRICLE FIBRILLATION; HUMAN; NERVE CELL NETWORK; OUTCOME ASSESSMENT; POWER SPECTRUM; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY; TIME;

AREA UNDER CURVE; ELECTRIC COUNTERSHOCK; ELECTROCARDIOGRAPHY; EMERGENCY MEDICAL SERVICES; FEMALE; HUMANS; MALE; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; RADIO WAVES; ROC CURVE; SENSITIVITY AND SPECIFICITY; VENTRICULAR FIBRILLATION;

EID: 34147189200     PISSN: 03009572     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.resuscitation.2006.10.002     Document Type: Article

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