BNCI2003_IVa Motor Imagery dataset

The BNCI2003_IVa Motor Imagery dataset comprises EEG recordings from 5 healthy subjects performing motor imagery tasks (right hand and feet movements) in response to visual cues. Acquired with 118 EEG channels at 100 Hz sampling rate, the dataset contains 280 trials per subject and has been preprocessed with bandpass filtering (0.05-200 Hz) and downsampling. This influential dataset from BCI Competition III has been extensively used for benchmarking motor imagery classification algorithms and feature extraction methods including common spatial patterns and movement-related potentials.