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Detection of ventricular fibrillation by sequential hypothesis testing of binary sequences
2007
2007 Computers in Cardiology
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A method is presented for the detection of ventricular fibrillation using binary sequences derived from the surface electrocardiogram. The binary sequences are used to obtain threshold crossing interval and Lempel-Ziv complexity measurements which together form the inputs to a neural network classifier. It is shown that the method outperforms the sequential hypothesis testing of either measurement on the MIT, AHA and CU databases.
doi:10.1109/cic.2007.4745550
fatcat:7y2o727hvfbshb5vzgfj4bgur4