10 datasets found

The dataset used in this paper is a collection of intracranial EEG recordings from epilepsy patients, with High Frequency Oscillations (HFOs) detected using a neuromorphic system.

The proposed dataset is a custom dataset created for the purpose of this paper. It includes 500 EEG signals, each of 23.6 seconds duration.

The dataset used in the study to evaluate two filtering techniques: SWT and Despikifying, for predicting seizure build up.

A novel multi-scale dilated 3D CNN for epileptic seizure prediction

Drug repurposing datasets expressed in binary, consisting of interactions between diseases, symptoms, genes, and affiliated drug molecules

The dataset used in the paper is EEG data from epileptic patients, which is used to detect early warning indicators for abrupt dynamical transitions in complex systems or...

The Temple University Hospital EEG Seizure corpus (TUSZ) v1.5.2 is a publicly available seizure corpus to date with 5, 612 EDF files, 3, 050 annotated seizures from clinical...

The Epilepsyecosystem dataset recorded at St Vincent’s Hospital in Melbourne, Australia is used for the experiments.

The CHB-MIT dataset is a multi-channel EEG dataset used for seizure detection. It contains 23 patients with intractable seizure disorders.

Two widely used benchmark EEG datasets for developing seizure prediction algorithm