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Computers in Cardiology
Previous studies developed by the authors proposed VF detection algorithms, including VT discrimination, based on time-frequency distributions. However, due to the large number of parameters extracted from the distributions, efficient schemes for parameter selection and significance estimation are needed. This study proposes a combined strategy of classical and modern techniques for the selection of parameters to develop improved VF detection algorithms. We show how exhaustive exploration ofdoi:10.1109/cic.2002.1166744 fatcat:7mvf7twzi5ccfpste43nqm6lga