Topic: eeg-signals Goto Github
Some thing interesting about eeg-signals
Some thing interesting about eeg-signals
eeg-signals,Sleep staging from ECG, assisted with EEG
Organization: acrophase
eeg-signals,This is a python code for extracting EEG signals from dataset 2b from competition iv, then it converts the data to spectrogram images to classify them using a CNN classifier.
User: ahmed-habashy
eeg-signals,Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin
User: alexenge
Home Page: https://hu-neuro-pipeline.readthedocs.io
eeg-signals,ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), Hyper-parameter optimization, and data augmentation are also incorporated to enhance the model's performance and accuracy.
User: aliamini93
eeg-signals,This code implements the EEG Net deep learning model using PyTorch. The EEG Net model is based on the research paper titled "EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces".
User: amir-hofo
eeg-signals,This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.
User: amrzhd
eeg-signals,Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
User: arkanivasarkar
eeg-signals,A package for manipulating EEG data in R.
User: bnicenboim
Home Page: https://bnicenboim.github.io/eeguana/
eeg-signals,C++ library for simulation of multiscale neural field dynamics
Organization: braindynamicsusyd
eeg-signals,Towards Domain Free Transformer for Generalized EEG Pre-training
User: comojin1994
eeg-signals,An R package for processing and plotting of electroencephalography (EEG) data
User: craddm
Home Page: https://craddm.github.io/eegUtils
eeg-signals,Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.
User: dolphin-in-a-coma
eeg-signals,Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals
User: duanyiqun
Home Page: https://arxiv.org/abs/2303.05021
eeg-signals,Function to calculate consistency of phase at a given frequency across measurements
User: emma-holmes
eeg-signals,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.
User: geopopos
eeg-signals,This is an official implementation for "Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG".
Organization: gist-ailab
eeg-signals,Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.
User: hanzopgp
eeg-signals,Machine learning for Anonymous detection of an alcoholic by EEG signals
User: ildaron
eeg-signals,Open-Source Brain-Computer Interface, ADS1299 and STM32
User: ildaron
eeg-signals,EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
User: iobt-vistec
eeg-signals,[ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) during the academic year 2019-2020.
User: konstantinosbarmpas
Home Page: https://ml2.inf.ethz.ch/courses/aml/
eeg-signals,Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem
User: mauricio-ms
eeg-signals,Python API for Mentalab biosignal aquisition devices
Organization: mentalab-hub
Home Page: https://mentalab.com/
eeg-signals,Mobile Robot controlled using Neurosky Mindwave headset. This repository contains the data collection and robot control scripts developed using C#. Features of the data has been extracted using EMD and HHT formulaes.
User: mexsonfernandes
eeg-signals,code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
User: mikewangwzhl
eeg-signals,Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN
User: mkfzdmr
eeg-signals,
Organization: multiscale-bci
Home Page: https://multiscale-bci.github.io/IV-2a/
eeg-signals,Android app for EEG data visualization and recording with the Traumschreiber BLE device
User: mvidaldp
Home Page: https://www.traumschreiber.uni-osnabrueck.de/
eeg-signals,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.
User: neerajwagh
eeg-signals,Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
User: neerajwagh
eeg-signals,Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
User: neerajwagh
eeg-signals,CS198-96: Intro to Neurotechnology @ UC Berkeley
Organization: neurotech-berkeley
eeg-signals,Supporting code for the GX Dataset
User: ngebodh
eeg-signals,Signal Processing Toolkit, including ML models with visualization
User: nikeshbajaj
Home Page: https://spkit.github.io
eeg-signals,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
User: nikk-nikaznan
Home Page: https://arxiv.org/pdf/1901.07429.pdf
eeg-signals,Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.
User: nikk-nikaznan
Home Page: https://arxiv.org/pdf/2007.11544.pdf
eeg-signals,Real-time EEG BCI signal processing by Python
Organization: pi-eeg
eeg-signals,Open-Source board for converting RaspberryPI to Brain-computer interface
Organization: pi-eeg
eeg-signals,Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
User: pktparticle
Home Page: https://en.wikipedia.org/wiki/Brain%E2%80%93computer_interface
eeg-signals,The codes that I implemented during my B.Sc. project.
User: pooria90
eeg-signals,YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
User: raphaelvallat
Home Page: https://raphaelvallat.com/yasa/
eeg-signals,Eye open and close classification using Machine Learning
User: shubhamverma1
eeg-signals,Detection of human emotions from eeg signals using the amigos dataset
User: soumyajit4419
eeg-signals,This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.
User: superbrucejia
Home Page: https://github.com/SuperBruceJia/EEG-BayesianCNN
eeg-signals,EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
User: superbrucejia
Home Page: https://iopscience.iop.org/article/10.1088/1741-2552/ab4af6/meta
eeg-signals,EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
User: teanijarv
eeg-signals,EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.
Organization: ufvceiec
eeg-signals,JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning
User: ycq091044
eeg-signals,A tool for visualizing EEG brainwaves from Muse headsets
User: ysimonson
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