BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.
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Updated
Aug 23, 2024 - HTML
Electroencephalography (EEG) is a non-invasive method for recording electrical activity in the brain, first performed on humans by Hans Berger in 1924 (Berger, 1929).
BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.
Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.
Upside Down Lab's Biopotential Amplifier v1.5 - Buy on Tindie at https://bit.ly/BioAmp-v1_5
Supporting code for the GX Dataset
SHINE_color: MATLAB toolbox to control luminance of colorful images.
Eye open and close classification using Machine Learning
HED (Hierarchical Event Descriptor) standards organization
A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis and to regularise vector fields using global structures.
Processing data with EEGLAB
Using multivariate assessments on infant EEG data to investigate visual category representations.
Towards Turnkey Brain-Computer Interfaces
Testing the Muse S Athena and trial stimulus markers using a simple paradigm whereby the participant must categorise 612 faces (102 unique faces, with six repetitions each) as being either "male" or "female" through a simple keyboard response.
capstone project - beyond bionics. Transradial Prosthesis - A bionic arm controlled via EEG and EMG sensors and signals.
Signal Processing & Machine Learning
Real-time visual performance driven by the 🧠 (brain) data of two performers
Project Web site of our Brains on Code research group
PhyAAt homepage
Preprocessed data and analysis scripts of the manuscript "Electrophysiological correlates of the interplay between low-level visual features and emotional content during word reading".
Based on OpenBCI_Processing, OpenBCI_GUI_v2.0 extends the GUI to include additional features, and will soon be usable with the Ganglion board.