carlosfg97 / AutomaticSleepStageClassifier
Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EEG. Undergraduate thesis
☆18Updated 2 years ago
Related projects: ⓘ
- EEG motor imagery classification using convolutional neural networks☆31Updated last year
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆62Updated 2 months ago
- EEG Signal Processing - Entropy☆16Updated 4 years ago
- ☆19Updated last year
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆23Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆40Updated 2 weeks ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆16Updated 4 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☆36Updated 2 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆10Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆38Updated 2 months ago
- ☆14Updated 3 years ago
- Deep learning model for EEG artifact removal☆56Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆38Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆58Updated 4 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆25Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆112Updated 9 months ago
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆35Updated 4 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆35Updated 3 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆22Updated 9 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆26Updated 4 years ago
- ☆58Updated this week
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆36Updated 2 years 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
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆51Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆22Updated last year
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆57Updated last month
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆80Updated last year
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆49Updated 4 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆18Updated 2 years ago
- Implementation of EEG signal classification.☆48Updated 8 years ago