antoine-jamin / py-msentropy
Multiscale Entropy with Python
☆11Updated 8 years ago
Alternatives and similar repositories for py-msentropy:
Users that are interested in py-msentropy are comparing it to the libraries listed below
- M/EEG brain age benchmark paper☆26Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- ☆9Updated 3 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆37Updated last year
- NeurIPS 2021 - Benchmarks for EEG Transfer Learning - cross-subject sleep stage decoding, cross-dataset motor imagery decoding☆12Updated 3 years ago
- hctsa tutorial using the five-class Bonn EEG dataset☆27Updated last year
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆54Updated 2 years ago
- ☆10Updated last year
- Epileptic Seizure Forecasting with Generative Adversarial Networks☆25Updated last year
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆30Updated 4 years ago
- Matlab code for SBLEST algorithm☆41Updated last year
- EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.☆14Updated 4 years ago
- SEEG Project☆15Updated 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☆37Updated 3 years ago
- MATLAB code for estimating parameters for phase space reconstruction of multivariate data.☆48Updated 10 months ago
- Multivariate Multiscale Dispersion Entropy of Biomedical Times Series☆16Updated 2 years ago
- ☆18Updated 4 years ago
- Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification☆20Updated last year
- Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".☆13Updated 2 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆28Updated 4 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆10Updated 3 years ago
- A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface☆14Updated 3 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆12Updated 2 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆45Updated 4 years ago
- Multiclass support matrix machine for single trial EEG classification☆11Updated 6 years ago
- A toolbox to decode raw time-domain EEG using features.☆18Updated 5 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆43Updated 7 months ago
- Code for extracting meta data from TUH EGG corpuses and queries☆16Updated 3 years ago