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Intracranial EEG recordings with HFO detection
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. -
Proposed dataset
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. -
EEG signal dataset for seizure build up prediction
The dataset used in the study to evaluate two filtering techniques: SWT and Despikifying, for predicting seizure build up. -
CHB-MIT EEG database
A novel multi-scale dilated 3D CNN for epileptic seizure prediction -
Drug repurposing datasets
Drug repurposing datasets expressed in binary, consisting of interactions between diseases, symptoms, genes, and affiliated drug molecules -
EEG data from epileptic patients
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... -
Temple University Hospital EEG Seizure Corpus
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... -
Epilepsyecosystem dataset
The Epilepsyecosystem dataset recorded at St Vincent’s Hospital in Melbourne, Australia is used for the experiments. -
CHB-MIT dataset
The CHB-MIT dataset is a multi-channel EEG dataset used for seizure detection. It contains 23 patients with intractable seizure disorders. -
Intracranial EEG dataset and Scalp EEG dataset
Two widely used benchmark EEG datasets for developing seizure prediction algorithm
