rivasd / eeglstm
LSTM-based neural network system to predict EEG signals
☆28Updated 6 years ago
Alternatives and similar repositories for eeglstm:
Users that are interested in eeglstm are comparing it to the libraries listed below
- Implementation of EEG signal classification.☆49Updated 8 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆76Updated 7 years ago
- ☆43Updated 5 years ago
- EEG Emotion Classification algorithm - copy from private☆15Updated 8 years ago
- Process and analyse EEG brain signals using EEGlab☆24Updated 6 years ago
- EEG motor imagery classification using convolutional neural networks☆34Updated last year
- A general matlab framework for EEG data classification☆48Updated 7 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- BCI Competition IV dataset 2a☆26Updated 5 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆29Updated 4 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆37Updated last year
- Preprocessing and feature extraction (slopes, moving slopes, Kurtosis, skewness, mean and variance) codes in MATLAB for analyzing fNIRS (…☆10Updated 7 years ago
- EEG Signal Processing - Entropy☆17Updated 4 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 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
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆81Updated 4 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆42Updated 6 months ago
- Machine learning on the CHB-MIT scalp EEG database☆28Updated 2 years ago
- An EEG dichotomy program file , using CSP and SVM.☆23Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆39Updated last month
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆17Updated 4 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆34Updated last year
- implementation of FBCSP algorithm☆25Updated 5 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆75Updated 4 years ago
- Hands-on tutorial on deep learning for EEG classification.☆70Updated 8 months ago
- This is for my Biomedical Computation class in campus. The problem is for classifying EEG Dataset from Bonn University that contains seiz…☆11Updated 8 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆19Updated 4 years ago