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- W2017033186 abstract "A parameter optimization method for an automatic seizure detection algorithm using the Nelder Mead algorithm is presented. A suitable cost function for joint optimization of sensitivity and false alarm rate is proposed. The optimization is done using EEG datasets from 23 patients and validated on datasets from another 23 patients. The resulting sensitivity was 82.3% with a false alarm rate of 0.24 FA/h. This is a reduction of the false alarm rate by 1.58 FA/h with an acceptable loss of sensitivity of 4.3%." @default.
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- W2017033186 date "2013-07-01" @default.
- W2017033186 modified "2023-09-27" @default.
- W2017033186 title "Automatic optimization of parameters for seizure detection systems" @default.
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- W2017033186 doi "https://doi.org/10.1109/embc.2013.6609916" @default.
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