Prediction of countershock success a comparison of autoregressive and fast fourier transformed spectral estimators

Methods of Information in Medicine

Volumn 48, Issue 5, 2009, Pages 486-492

  Nowak, C N ^a   Fischer, G ^a   Neurauter, A ^b   Wieser, L ^a   Strohmenger, H U ^b  

^a UNIVERSITY FOR HEALTH SCIENCES   (Austria)

^b UNIVERSITY HOSPITAL INNSBRUCK   (Austria)

Author keywords

Autoregressive modeling; Countershock success; Prediction features; Ventricular fibrillation

Indexed keywords

ALGORITHM; ANIMAL; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CARDIOVERSION; DISEASE MODEL; ELECTROCARDIOGRAPHY; FOURIER ANALYSIS; HEART VENTRICLE FIBRILLATION; HUMAN; METHODOLOGY; MICROCOMPUTER; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; SIGNAL PROCESSING; SWINE; TREATMENT OUTCOME;

ALGORITHMS; ANIMALS; AREA UNDER CURVE; DISEASE MODELS, ANIMAL; ELECTRIC COUNTERSHOCK; ELECTROCARDIOGRAPHY; FOURIER ANALYSIS; HUMANS; MICROCOMPUTERS; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SWINE; TREATMENT OUTCOME; VENTRICULAR FIBRILLATION;

EID: 76649142419     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/ME0580     Document Type: Conference Paper

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