86 datasets found

EEG dataset for Object Recognition

EEG dataset for Digit Recognition

The SEED dataset contains 15 subjects recorded while watching movie clips designated with a negative/neutral/positive emotion label.

Publicly available datasets for EEG-based classification tasks

The dataset used for performing continuous speech recognition experiments using EEG features.

The dataset used for performing isolated and continuous speech recognition experiments using EEG features.

The dataset consists of records of 52 first year students who completed the undergraduate engineering course (out of 115 registered students) at the University of Genoa.

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.

The dataset used in this study for EEG signal decoding for imagined speech.

A large-scale city-wise dataset for exploring the relationships among air pollutants and their causal agents over time.

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

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...

The dataset used in this paper for sustained attention level evaluation using EEG.

The dataset used for EEG signal decoding, featuring motor imagery (MI) and steady-state visual evoked potential (SSVEP) tasks.

The dataset used for EEG signal decoding, featuring motor imagery (MI) and steady-state visual evoked potential (SSVEP) tasks.

Quantitative EEG as a predictive biomarker for Parkinson disease dementia

The dataset used in the paper is the EEG responses without the corresponding stimuli of 20 young normal-hearing subjects.

The dataset used in the paper is the EEG responses with the corresponding stimuli of 85 young normal-hearing subjects.

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 dataset consists of Before Calculation Signals (BCS) and During Calculation Signals (DCS). The dataset consisted of 36 participants.