EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
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Updated
May 17, 2024 - MATLAB
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Open-Source board for converting RaspberryPI to Brain-computer interface
Variational mode decomposition (VMD) in Python
Open-Source Brain-Computer Interface, ADS1299 and STM32
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
An R package for processing and plotting of electroencephalography (EEG) data
Analyze and manipulate EEG data using PyEEGLab.
Empirical wavelet transform (EWT) in Python
MWF-based EEG artifact removal in MATLAB
Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox
A set of tools to analyze and create charts from Muse EEG devices.
A MATLAB application to automatize analysis of EEG data
EEG-Based Emotion Recognition
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
A driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset
Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.
Machine learning for Anonymous detection of an alcoholic by EEG signals
Android app for EEG data visualization and recording with the Traumschreiber BLE device
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