Open Access Dataset for EEG+NIRS Single-Trial Classification
We provide an open access dataset for hybrid brain-computer interfaces (BCIs) using electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we conducted two BCI experiments (left vs. right hand motor imagery; mental arithmetic vs. resting state). The dataset was validated using baseline signal analysis methods, with which classification performance was evaluated for each modality and a combination of both modalities.
M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition architecture for miniaturized EEG-NIRS based hybrid BCI and monitoring
M3BA modules enable acquisition of EEG, fNIRS, head movements and other electrical biosignals, while being highly precise, miniaturized, wireless, configurable and energy efficient. Performance characterization and in-vivo experiments confirmed functionality and quality of the designed architecture.