Topic: motor-imagery Goto Github
Some thing interesting about motor-imagery
Some thing interesting about motor-imagery
motor-imagery,In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.
User: abaldrati
motor-imagery,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
motor-imagery,Attention temporal convolutional network for EEG-based motor imagery classification
User: altaheri
Home Page: https://ieeexplore.ieee.org/document/9852687
motor-imagery,Some studies regarding the selection of optimal channels in a BCI based on motor imagery
User: anthonyesp
motor-imagery,Data and code related to BCI experiments with neurofeedback
User: anthonyesp
motor-imagery,A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.
User: baizhige
motor-imagery,Classic BCI Algorithms implementation in MALTAB
User: banaankiamanesh
motor-imagery,This repository contains all the code used in the experiments of the paper Restricted Exhaustive Search for Frequency Band Selection in Motor Imagery Classification as well as additional information of the experiments and results, and how to reproduce them.
User: bustios
motor-imagery,OpenViBE BCI paradigm for controlling a drone
User: caee
motor-imagery,Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models
User: catalinamagalvan
motor-imagery,EEG BCI Real-Time Applications: Contains real-time demonstrations of BCI applications
User: chaklam-silpasuwanchai
Home Page: http://chaklam.com
motor-imagery,A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.
User: chaklam-silpasuwanchai
Home Page: http://chaklam.com
motor-imagery,Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)
User: chamwen
motor-imagery,Towards Domain Free Transformer for Generalized EEG Pre-training
User: comojin1994
motor-imagery,An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
User: deepbci
motor-imagery,Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."
User: drwuhust
motor-imagery,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).
User: edw4rdyao
motor-imagery,This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.
User: eneriz-daniel
motor-imagery,Brain-Computer Interface for Navigation in Virtual Environments
User: fardinafdideh
motor-imagery,PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
User: gzoumpourlis
motor-imagery,University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery
User: harlockofficial
motor-imagery,Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper
User: high-east
motor-imagery,The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)
User: iobt-vistec
motor-imagery,Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals
User: james-mc1ntyre
motor-imagery,Neuroexon presents a hybrid-BCI system that utilizes motor imagery (MI) and steady-state visual-evoked potential (SSVEP) to control a one degree of freedom arm exoskeleton which provides the user with haptic feedback.
User: karahanyilmazer
motor-imagery,Functional connectivity and brain network analysis for motor imagery data in stroke patients
User: lazyjiang
motor-imagery,
User: martinwimpff
motor-imagery,
User: martinwimpff
motor-imagery,Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem
User: mauricio-ms
motor-imagery,Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.
User: mauricio-ms
motor-imagery,Application to collect eeg data, analyze, and decode motor imagery classes in real time.
User: mauricio-ms
motor-imagery,Motor Imagery System Using a Low-Cost EEG Brain Computer Interface.
User: mikaelhaji
motor-imagery,Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking
User: okbalefthanded
motor-imagery,Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python
User: orvindemsy
motor-imagery,A display for training phase for motor imagery-based BCI (MI-based BCI) training using pygame.
User: orvindemsy
motor-imagery,This repo contains the code for my Bachelor-Thesis: Feature engineering for motor imagery classification.
User: phil3pi
motor-imagery,The codes that I implemented during my B.Sc. project.
User: pooria90
motor-imagery,This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.
User: rezasaadatyar
motor-imagery,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
motor-imagery,Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"
User: tomazas
motor-imagery,Code accompanying the publication "Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control" that received the Best Paper Award at the RoboSoft 2024.
Organization: tud-phi
motor-imagery,Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
User: zabir-nabil
motor-imagery,Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
User: zhangks98
Home Page: https://doi.org/10.1016/j.neunet.2020.12.013
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