carlosfg97 / AutomaticSleepStageClassifier
Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EEG. Undergraduate thesis
☆18Updated 3 years ago
Alternatives and similar repositories for AutomaticSleepStageClassifier:
Users that are interested in AutomaticSleepStageClassifier are comparing it to the libraries listed below
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆17Updated 4 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆131Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆34Updated last year
- Implementation of EEG signal classification.☆49Updated 8 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆81Updated 4 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.☆20Updated 3 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆37Updated 3 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆28Updated 3 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆66Updated 6 months ago
- This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs)…☆48Updated 4 years ago
- EEG Signal Processing - Entropy☆17Updated 4 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆12Updated 3 years ago
- Deep learning model for EEG artifact removal☆63Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆34Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆42Updated 6 months ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆10Updated 2 years ago
- This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG …☆50Updated 2 years ago
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- ☆28Updated 5 months ago
- A general matlab framework for EEG data classification☆48Updated 7 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆64Updated 5 months ago
- ☆21Updated 2 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆11Updated 2 years ago