A robust sequential detection algorithm for cardiac arrhythmia classification.

S W Chen; P M Clarkson; Q Fan

doi:10.1109/10.541254

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A robust sequential detection algorithm for cardiac arrhythmia classification.

S W Chen·P M Clarkson·Q Fan

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Abstract

In [1] qnd [2] Thakor et al. describe a sequential probability ratio test (SPRT) based on threshold crossing intervals (TCI) for the discrimination of ventricular fibrillation (VF) from ventricular tachycardia (VT). However, in applying their algorithm to data from the MIT-BIH malignant arrhythmia database, we observed some overlap in the distributions of TCI for VF and VT resulting in 16% overall error rate for the discrimination. In this communication, we describe a modified SPRT algorithm, using a new feature dubbed blanking variability (BV) as the basis for discrimination. Using the MIT-BIH database, the preliminary results showed that the proposed method decreases the overall error rate to 5%.

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Algorithms Diagnosis, Differential Diagnostic Errors Electrocardiography Heart Rate Humans Normal Distribution Probability Signal Processing, Computer-Assisted Tachycardia, Ventricular Ventricular Fibrillation Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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S W Chen, P M Clarkson, Q Fan. 1996. A robust sequential detection algorithm for cardiac arrhythmia classification.. https://doi.org/10.1109/10.541254

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