gemeinl / auto-eeg-diagnosis-comparisonLinks
☆22Updated 2 years ago
Alternatives and similar repositories for auto-eeg-diagnosis-comparison
Users that are interested in auto-eeg-diagnosis-comparison are comparing it to the libraries listed below
Sorting:
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆46Updated 2 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆64Updated 5 years ago
- implementation of FBCSP algorithm☆26Updated 6 years ago
- ☆9Updated 3 years ago
- ☆36Updated 7 years ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆150Updated last year
- ☆44Updated 6 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- ☆18Updated 4 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 4 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆63Updated last year
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆72Updated last year
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 3 weeks ago
- EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.☆14Updated 5 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- EEG motor imagery classification using convolutional neural networks☆36Updated 2 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated this week
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆69Updated 11 months ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Updated 2 years ago
- Implementation of EEG signal classification.☆50Updated 9 years ago
- code for NeurIPS_competition☆28Updated 3 years ago
- ☆68Updated 6 years ago
- Matlab codes for the Online SSVEP-based BCI using Riemannian Geometry algorithm☆51Updated 7 years ago
- ☆21Updated 2 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Updated 4 years ago
- Supplementary material for systematic literature review on deep learning and EEG.☆156Updated 5 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago