Focal seizures (scalp EEG data)
Convolutional networks
Characterization of the preictal state
Convolutional networks can extract robust features from scalp EEG to characterize the preictal state for focal seizure prediction.
We demonstrate that a robust set of features can be learned from scalp EEG that characterize the preictal state of focal seizures.
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Khan et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69d7f90911d83f35e5ae37e1 — DOI: https://doi.org/10.1109/tbme.2017.2785401
Haidar Khan
Lara Marcuse
Madeline Fields
IEEE Transactions on Biomedical Engineering
Rensselaer Polytechnic Institute
Mount Sinai Hospital
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