Why the study?
Does a modified SPRT algorithm using blanking variability improve the discrimination of VF from VT compared to a TCI-based algorithm?
Population
Data from the MIT-BIH malignant arrhythmia database containing ventricular fibrillation and ventricular…
Comparison
Modified sequential probability ratio test… vs Original SPRT algorithm based on threshold…
Design
Other
Authors
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May reduce VF/VT misclassification in device algorithms; leaves open prospective validation in clinical ECG datasets.
Does a modified SPRT algorithm using blanking variability improve the discrimination of VF from VT compared to a TCI-based algorithm?
A novel algorithm using blanking variability significantly improves the accuracy of discriminating ventricular fibrillation from ventricular tachycardia in ECG signals.
Chen et al. (1996) studied this question.
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