BNCI 2015-012 PASS2D P300 dataset

Résumé fourni par la source

This dataset comprises preprocessed EEG recordings from a novel 9-class auditory event-related potential (ERP) paradigm designed for brain-computer interface (BCI) applications. Ten healthy participants performed a spelling task using a predictive text entry system (PASS2D) that exploited spatial auditory stimuli varying in pitch and direction. The dataset includes 63-channel EEG data sampled at 250 Hz with P300 and N200 components, along with performance metrics demonstrating competitive spelling speeds of 0.8 characters per minute.

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