Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording

no code implementations • 14 Nov 2020 • Zaid Bin Tariq, Arun Iyengar, Lara Marcuse, Hui Su, Bülent Yener

But these models require a considerable number of patient-specific seizures to be recorded for extracting the preictal and interictal EEG data for training a classifier.

EEG Seizure prediction +1

Deep density ratio estimation for change point detection

no code implementations • 23 May 2019 • Haidar Khan, Lara Marcuse, Bülent Yener

In this work, we propose new objective functions to train deep neural network based density ratio estimators and apply it to a change point detection problem.

Change Point Detection Density Ratio Estimation +1

Focal onset seizure prediction using convolutional networks

no code implementations • 29 May 2018 • Haidar Khan, Lara Marcuse, Madeline Fields, Kalina Swann, Bülent Yener

Significance: We demonstrate that a robust set of features can be learned from scalp EEG that characterize the preictal state of focal seizures.

EEG Seizure prediction