weizhenhit / All-In-One-EEG-Feature-Extraction-ToolboxLinks
An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectral density (PSD), differential entropy (DE), empirical mode decomposition (EMD), common spatial patterns (CSP), microstate analysis and so on. (The list of features will continue to update...)
☆50Updated 2 years ago
Alternatives and similar repositories for All-In-One-EEG-Feature-Extraction-Toolbox
Users that are interested in All-In-One-EEG-Feature-Extraction-Toolbox are comparing it to the libraries listed below
Sorting:
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆145Updated 2 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆92Updated 5 years ago
- code for LMDA☆87Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 weeks ago
- ☆92Updated 4 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆65Updated 3 years ago
- Analysis of Transformer attention in EEG signal classification☆48Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 6 months ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated 2 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆32Updated 5 months ago
- 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…☆72Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆48Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 8 months ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54Updated 4 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆64Updated 4 years ago
- ☆35Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆92Updated 3 years ago
- ☆21Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆72Updated 9 months ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆185Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆171Updated 5 years ago
- ☆40Updated last year
- EEG motor imagery classification using convolutional neural networks☆43Updated 2 years ago
- 基于一个公开数据集和一个BCI竞赛数据集，提供一个SVM-CSP运动想象二分类demo☆12Updated 4 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago