Journal: Frontiers in Human Neuroscience

Article Title: Development and evaluation of a BCI-neurofeedback system with real-time EEG detection and electrical stimulation assistance during motor attempt for neurorehabilitation of children with cerebral palsy

doi: 10.3389/fnhum.2024.1346050

Figure Lengend Snippet: Information flow of the BC-NFT software. The visual feedback GUI transmitted trigger values associated with various task events (provided as visual cues to the participant) and ankle angle data to LSL. EEG was directly streamed into the Lab Streaming Layer (LSL) in real-time. LSL played a crucial role in synchronization and timestamping all data streams, i.e., EEG, ankle angle, and triggers. Subsequently, it transmitted the EEG and trigger streams to the BCI system in MATLAB.

Article Snippet: These channels included: (1) a link between BrainVision and LSL for real-time EEG streaming, (2) a pathway from Unity (visual feedback) to LSL for reception of trigger values and ankle angle in real-time, (3) a connection from LSL to MATLAB for the streaming of EEG and trigger values to the operating GUI, and (4) a direct link from Unity to MATLAB for transmission of trial information, such as the trial name.

Techniques: Software

Journal: Scientific Data

Article Title: A mobile brain-body imaging dataset recorded during treadmill walking with a brain-computer interface

doi: 10.1038/sdata.2018.74

Figure Lengend Snippet: ( a ) A subject walking on the treadmill, wearing EEG, EOG, and goniometer sensors. A 52-inch TV screen was placed in front to show a virtual avatar walking through a hallway. ( b ) Montage of 60 EEG channels. ( c ) Active EEG/EOG electrodes. ( d ) A goniometer unit, consisting of two endblocks connected by a spring. ( e ) Protocol timeline.

Article Snippet: digitizer.bvct is in XML format, and contains the digitized EEG electrodes 3D location data collected by the BrainVision Captrak software.

Techniques:

Journal: Scientific Data

Article Title: A mobile brain-body imaging dataset recorded during treadmill walking with a brain-computer interface

doi: 10.1038/sdata.2018.74

Figure Lengend Snippet: ( a ) Impedance of EEG electrodes before and after the experiments. Each subject was measured for four times as shown in the four rows: before (Pre) and after (Post) the experiment on both days. Scalp map outside the head circle was not shown to avoid incorrect representation due to interpolation at the area near boundary. ( b ) Sample raster plot of three 10-second periods during the stand , walk , and walk+BCI phases (from folder SL04-T03). Note that before the walk+BCI phase, the avatar-displayed joint angles (black line) always matched the actual measurement (red line). ( c ) Decoder performance measured by the r-values between the measured and predicted joint angles in the right hip.

Article Snippet: digitizer.bvct is in XML format, and contains the digitized EEG electrodes 3D location data collected by the BrainVision Captrak software.

Techniques:

Journal: Data in Brief

Article Title: A high-density scalp EEG dataset acquired during brief naps after a visual working memory task

doi: 10.1016/j.dib.2018.04.073

Figure Lengend Snippet: Block diagram showing the algorithm used for automated spindle detection. Python source code distributed with the dataset allows for file input/output of the native BrainVision *.eeg files, filtering and artifact rejection, and optionally automated spindle detection, comparison with manually labelled spindles occurring in different non-REM sleep stages, and model validation. Root-mean-square (RMS) is computed and used to represent the feature maps for the automated spindle detection.

Article Snippet: EEG datasets are provided in their native raw format, which have the Brainvision.eeg extension.

Techniques: Blocking Assay, Comparison, Biomarker Discovery

Journal: Data in Brief

Article Title: A high-density scalp EEG dataset acquired during brief naps after a visual working memory task

doi: 10.1016/j.dib.2018.04.073

Figure Lengend Snippet:

Article Snippet: EEG datasets are provided in their native raw format, which have the Brainvision.eeg extension.

Techniques:

Journal: Data in Brief

Article Title: Loosely controlled experimental EEG datasets for higher-order cognitions in design and creativity tasks

doi: 10.1016/j.dib.2023.109981

Figure Lengend Snippet:

Article Snippet: The EEG recording system was the 64-channel BrainVision (Brain Vision Solutions, Montreal, Canada).

Techniques: Modification, Control