8 datasets found

EEG classification aims to classify EEG recordings that consist of C sensor readings regularly sampled, e.g., at a set frequency in Hz, usually for a short time range of a few...

The proposed method uses two publicly available motor imagery EEG datasets for validation.

WAY-EEG-GAL dataset is used for motor kinematics prediction analysis. The dataset contains synchronous EEG and hand kinematics data collected during the grasp-and-lift task.

A new EEG dataset where the attention of the participants is detected and used to guide the collection of the EEG signals in each experiment.

The dataset contains EEG data recorded from 10 healthy subjects.

The dataset contains EEG data recorded from 35 healthy subjects.

The OpenBMI dataset is a large benchmark containing 2 sessions of 2-class MI-EEG data (left hand, right hand) from 54 right-handed healthy subjects.

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...