Key result
A new ventricular fibrillation detection algorithm based on time-delay methods outperformed all other investigated algorithms in terms of sensitivity, specificity, and area under the ROC curve.
Why the study?
Does a new time-delay method-based algorithm improve the detection of ventricular fibrillation compared to existing algorithms?
Population
ECG data from the complete BIH-MIT arrhythmia database, the CU database, and files 7001-8210 of the AHA…
Comparison
New ventricular fibrillation detection algorithm… vs Several previously investigated VF detection…
Design
Other
Authors
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May improve VF detection accuracy in AEDs; leaves open prospective clinical validation.
Does a new time-delay method-based algorithm improve the detection of ventricular fibrillation compared to existing algorithms?
A novel time-delay algorithm for automated external defibrillators improves the detection accuracy of ventricular fibrillation.
Amann et al. (2006) studied Ventricular fibrillation. New VF detection algorithm based on time-delay methods vs. Several earlier VF detection algorithms was evaluated on Sensitivity, specificity, and area under the receiver operating characteristic curve for VF detection. A new ventricular fibrillation detection algorithm based on time-delay methods outperformed all other investigated algorithms in terms of sensitivity, specificity, and area under the ROC curve.
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