A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
Variational mode decomposition (VMD) in Python
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
Empirical wavelet transform (EWT) in Python
A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
An open source tool for large-scale EEG datasets processing
EEG-Based Emotion Recognition
Analyze and manipulate EEG data using PyEEGLab.
JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
A driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
A set of tools to analyze and create charts from Muse EEG devices.
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.