BNCI 2015-001 Motor Imagery dataset

Résumé fourni par la source

A motor imagery EEG dataset comprising 12 healthy, right-handed naive subjects performing two-class imagery tasks (right hand palmar grip versus bilateral feet plantar extension) across two sessions. The dataset includes 13-channel EEG recordings at 512 Hz with preprocessed data (bandpass filtered 0.5-100 Hz, notch filtered at 50 Hz) and achieves 80% classification accuracy using LDA with common spatial patterns and logarithmic bandpower features, designed for brain-computer interface research and benchmarking.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.