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EEG database for SCP training
The EEG database consists of SCP training of EEG recordings. The feature extraction step was performed using time-frequency-amplitude analysis by Hilbert-Huang Transform. -
CHB-MIT EEG database
A novel multi-scale dilated 3D CNN for epileptic seizure prediction -
TUH Abnormal EEG Corpus
TUH Abnormal EEG Corpus is a subset of the TUH EEG Corpus, which is the world’s largest publicly available database of clinical EEG data. The TUH Abnormal EEG Corpus consists of... -
Quantitative EEG as a predictive biomarker for Parkinson disease dementia
Quantitative EEG as a predictive biomarker for Parkinson disease dementia -
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... -
Emotions recognition using EEG signals: A survey
Emotions recognition using EEG signals: A survey. -
EEG dataset for anterior jaw lobectomy
EEG dataset for anterior jaw lobectomy -
Epilepsyecosystem dataset
The Epilepsyecosystem dataset recorded at St Vincent’s Hospital in Melbourne, Australia is used for the experiments. -
EEG-fNIRS dataset for Motor Imagery
The dataset used in the study consists of EEG and fNIRS recordings from 29 healthy subjects performing left and right-hand MI tasks. -
SCDM: Unified Representation Learning for EEG-to-fNIRS
The study proposes the spatio-temporal controlled diffusion model (SCDM) for cross-modal generation of synthetic fNIRS signals from EEG data. -
Massachusetts General Hospital (MGH) Sleep
EEG dataset for sleep staging task -
Sleep Heart Health Study (SHHS)
The Sleep Heart Health Study (SHHS) dataset contains polysomnography (PSG) recordings from home-based devices with supervision from specialized technicians. -
UCI EEG Dataset
The UCI EEG dataset consists of EEG signals from two groups of subjects - alcoholic individuals and controls. The dataset has three attributes: alcoholism, stimulus condition,... -
Recovering Arrhythmic EEG Transients from Their Stochastic Interference
The dataset is used to study the neuronal dynamics underlying electroencephalograms (EEG) and to recover arrhythmic EEG transients from their stochastic interference. -
A large and rich EEG dataset for modeling human visual object recognition
A large and rich EEG dataset for modeling human visual object recognition. -
P300-based speller dataset
ERP-based EEG detection gaining increasing attention in the field of brain-computer interfaces. However, due to the complexity of ERP signal components, their low... -
EEG in schizophrenia
EEG in schizophrenia
