There are 12 repositories under eeg-signals-processing topic.
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
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.
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
Analyze and manipulate EEG data using PyEEGLab.
EEG-Based Emotion Recognition
A set of tools to analyze and create charts from Muse EEG devices.
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
Machine learning for Anonymous detection of an alcoholic by EEG signals
MWF-based EEG artifact removal in MATLAB
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
A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.
Detection of human emotions from eeg signals using the amigos dataset
Android app for EEG data visualization and recording with the Traumschreiber BLE device
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin
The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
Robust electrophysiology tools with GPU acceleration
It is the task to classify BCI competition datasets (EEG signals) using EEGNet and DeepConvNet with different activation functions. You can get some detailed introduction and experimental results in the link below. https://github.com/secondlevel/EEG-classification/blob/main/Experiment%20Report.pdf
🧠 Maguire Lab's Deep Learning Seizure Detection WebApp.
Detect EEG artifacts, outliers, or anomalies using supervised machine learning.
Official implementation of "A Knowledge Distillation Framework for Enhancing Ear-EEG based Sleep Staging with Scalp-EEG Data"
EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.
sync2brain's bossdevice RESEARCH Application Programmable Interface (API) for MATLAB