A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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Updated
Jan 19, 2023 - Python
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Open-Source board for converting RaspberryPI to Brain-computer interface
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Open-Source Brain-Computer Interface, ADS1299 and STM32
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
Analyze and manipulate EEG data using PyEEGLab.
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
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 driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset
JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
A set of tools to analyze and create charts from Muse EEG devices.
EEG-Based Emotion Recognition
Machine learning for Anonymous detection of an alcoholic by EEG signals
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicate
Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox
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