eeg-signals
Here are 286 public repositories matching this topic...
Language:All
Sort:Most stars
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
- Updated
Nov 5, 2024 - Python
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
- Updated
Mar 7, 2025 - Python
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
- Updated
Mar 15, 2025 - Python
CS198-96: Intro to Neurotechnology @ UC Berkeley
- Updated
Apr 13, 2022 - Jupyter Notebook
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
- Updated
May 20, 2024 - Python
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
- Updated
Jun 30, 2024 - 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.
- Updated
Oct 8, 2022 - Python
EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
- Updated
Oct 25, 2023 - Python
This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
- Updated
Sep 8, 2024 - Jupyter Notebook
An R package for processing and plotting of electroencephalography (EEG) data
- Updated
Nov 1, 2024 - R
This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, the study demonstrates how richer temporal feature extractions can enhance CNN models in classifying EEG signals
- Updated
Mar 17, 2025 - Jupyter Notebook
- Updated
Dec 10, 2018 - Python
Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
- Updated
Jun 20, 2024 - Python
Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.
- Updated
Apr 27, 2023 - Jupyter Notebook
Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
- Updated
Nov 13, 2023 - Python
Python API for Mentalab biosignal aquisition devices
- Updated
Mar 21, 2025 - Python
JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
- Updated
Jun 2, 2023 - Python
Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
- Updated
Mar 29, 2021 - Python
Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.
- Updated
Jun 20, 2024 - Python
Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
- Updated
Nov 25, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to theeeg-signals topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with theeeg-signals topic, visit your repo's landing page and select "manage topics."