This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset
This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset
BNCI2003_IVa Motor Imagery数据集是一个包含脑电图（EEG）信号的数据集，主要用于视觉运动想象任务的研究。数据集包含5名健康受试者的5次记录，每次记录使用118个通道，采样率为100 Hz。数据集的总时长为4小时，大小为492.7 MB。数据集的许可证为CC-BY-4.0，适用于脑机接口（BCI）和神经科学研究。数据集可以通过EEGDash工具加载，支持PyTorch和br
ObjectivesWe study the applicability of a visual P3-based and a Steady State Visually Evoked Potentials (SSVEP)-based Brain-Computer Interfaces (BCIs) for mental text spelling on a cohort of patients
