ncclabsustech / Single-Channel-EEG-DenoiseLinks
☆18Updated 4 years ago
Alternatives and similar repositories for Single-Channel-EEG-Denoise
Users that are interested in Single-Channel-EEG-Denoise are comparing it to the libraries listed below
Sorting:
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆35Updated 2 years ago
- Deep learning model for EEG artifact removal☆73Updated 3 years ago
- EEG Signal Processing - Entropy☆18Updated 5 years ago
- ☆12Updated last year
- 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…☆29Updated 4 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- code for LMDA☆81Updated last year
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆57Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆44Updated 9 months ago
- ☆31Updated 3 months ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆43Updated this week
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 7 months ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆38Updated last year
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆51Updated 2 weeks ago
- 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
- ☆20Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆18Updated 5 years ago
- ☆38Updated 4 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆57Updated 2 years ago
- Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EE…☆20Updated 3 years ago
- 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
- Implementation of EEG signal classification.☆50Updated 8 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆63Updated 5 years ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆63Updated last year