VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG Signals (2018-07-07T00:00:00.000000Z)
VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG Signals
VFPred is developed, VFPred that, in addition to employing a signal processing pipeline, namely, Empirical Mode Decomposition and Discrete Fourier Transform for useful feature extraction, uses a Support Vector Machine for efficient classification.
Authors
Nabil Ibtehaz
1 papers
M. Rahman
1 papers
Mohammad Sohel Rahman
2 papers
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