sari-saba-sadiya / EEGExtract
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
☆65Updated 7 months ago
Alternatives and similar repositories for EEGExtract:
Users that are interested in EEGExtract are comparing it to the libraries listed below
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆42Updated 2 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆140Updated last year
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆34Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- Implementation of EEG signal classification.☆50Updated 8 years ago
- ☆43Updated 5 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- Deep learning model for EEG artifact removal☆67Updated 2 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆37Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆82Updated 3 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆39Updated last year
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆45Updated 3 years ago
- Hands-on tutorial on deep learning for EEG classification.☆71Updated 10 months ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆100Updated 5 years ago
- An EEG dichotomy program file , using CSP and SVM.☆23Updated 4 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆29Updated 4 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆68Updated 7 months ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆25Updated 2 years ago
- Analyze and manipulate EEG data using PyEEGLab.☆61Updated 4 years ago
- ☆20Updated 2 years ago
- ☆28Updated 8 months ago
- Artifact Subspace Reconstruction for Python☆51Updated 9 months ago
- Athena is a library that comprises many different bci frameworks that perform classification on a set of eeg data.☆20Updated 2 years ago
- Python implemementation of the FBCSP algorithm☆32Updated 9 months ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 9 months ago
- ☆35Updated 7 years ago