A Benchmark Dataset for SSVEP-Based Brain-Computer Interfaces
This paper presents a benchmark steady-state visual evoked potential (SSVEP) dataset acquired with a 40-target brain-computer interface (BCI) speller. The dataset consists of 64-channel Electroencephalogram (EEG) data from 35 healthy subjects (8 experienced and 27 naïve) while they performed a cue-guided target selecting task.
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.
BCI Use and Its Relation to Adaptation in Cortical Networks
Brain-computer interfaces (BCIs) carry great potential in the treatment of motor impairments. As a new motor output, BCIs interface with the native motor system, but acquisition of BCI proficiency requires a degree of learning to integrate this new function. In this review, we discuss how BCI designs often take advantage of the brain’s motor system infrastructure as sources of command signals.
New Editor-in-Chief, Managing Editor Announced for 2018
EMBS welcomes Dan Ferris as the new Editor-in-Chief for TNSRE, effective January 1, 2018. Dr. Ferris is joined by Kara McArthur as the new Managing Editor of TNSRE.
Neural Probes with Integrated Temperature Sensors for Monitoring Retina and Brain Implantation and Stimulation
Gold (Au) resistive temperature sensors were integrated on flexible polyimide-based neural probes to monitor temperature changes during neural probe implantation and stimulation. Temperature changes were measured as neural probes were implanted to infer the positions of the neural probes, and as the retina or the deep brain region was stimulated electrically.
Embroidered Electromyography: A Systematic Design Guide
Muscle activity monitoring or Electromyography (EMG) is a useful tool. However, EMG is typically invasive, expensive and difficult to use for untrained users. A possible solution is textile-based surface EMG (sEMG) integrated into clothing as a wearable device.