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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
5
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pubmed:dateCreated |
2009-10-9
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pubmed:abstractText |
Spectral analysis of the ventricular fibrillation (VF) ECG has been used for predicting countershock success, where the Fast Fourier Transformation (FFT) is the standard spectral estimator. Autoregressive (AR) spectral estimation should compute the spectrum with less computation time. This study compares the predictive power and computational performance of features obtained by the FFT and AR methods.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
0026-1270
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:volume |
48
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
486-92
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pubmed:meshHeading |
pubmed-meshheading:19448883-Algorithms,
pubmed-meshheading:19448883-Animals,
pubmed-meshheading:19448883-Area Under Curve,
pubmed-meshheading:19448883-Disease Models, Animal,
pubmed-meshheading:19448883-Electric Countershock,
pubmed-meshheading:19448883-Electrocardiography,
pubmed-meshheading:19448883-Fourier Analysis,
pubmed-meshheading:19448883-Humans,
pubmed-meshheading:19448883-Microcomputers,
pubmed-meshheading:19448883-Neural Networks (Computer),
pubmed-meshheading:19448883-ROC Curve,
pubmed-meshheading:19448883-Regression Analysis,
pubmed-meshheading:19448883-Signal Processing, Computer-Assisted,
pubmed-meshheading:19448883-Swine,
pubmed-meshheading:19448883-Treatment Outcome,
pubmed-meshheading:19448883-Ventricular Fibrillation
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pubmed:year |
2009
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pubmed:articleTitle |
Prediction of countershock success: a comparison of autoregressive and fast fourier transformed spectral estimators.
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pubmed:affiliation |
Institute of Biomedical Engineering, University for Health Sciences, Medical Informatics and Technology, 6060 Hall in Tirol, Austria. claudia.nowak@umit.at
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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