nicolasigor / cmorlet-tensorflowLinks
A TensorFlow implementation of the Continous Wavelet Transform based on the complex Morlet wavelet.
☆27Updated 3 years ago
Alternatives and similar repositories for cmorlet-tensorflow
Users that are interested in cmorlet-tensorflow are comparing it to the libraries listed below
Sorting:
- Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"☆32Updated 3 years ago
- Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification☆41Updated last year
- Multichannel Sleep Spindle Detector for sleep EEG☆12Updated 5 years ago
- Transfer learning for sleep stage detection☆30Updated 3 years ago
- EEG Signal Processing - Entropy☆18Updated 5 years ago
- Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning☆46Updated last year
- ECG Compression using Wavelet Transform and Variable Run-Length Encoding☆29Updated 2 years ago
- EEG Features to be extract from raw data.☆27Updated 8 years ago
- ☆21Updated this week
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆34Updated 2 years ago
- ☆18Updated 4 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- Seizure Event Detection using minimum electrodes☆8Updated last year
- ☆14Updated last year
- Sleep staging from ECG, assisted with EEG☆26Updated 3 years ago
- Automatic channel selection for seizure detection☆11Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification☆21Updated last year
- Sleep stage automatic classifier using CNNs and LSTMs to process frequency signals of brain activity recorded via ElectroEncephaloGram EE…☆20Updated 3 years ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆21Updated 2 years ago
- ☆12Updated 6 years ago
- Toolbox of adaptive Fourier decomposition (AFD) for Python. The MAFD has been published in IEEE TSP (DOI: 10.1109/TSP.2022.3143723)☆41Updated 9 months ago
- Implements a nonlinear energy operator, known as the Envelope Derivative Operator (EDO)☆18Updated 5 years ago
- Implementation of DeepSleepNet for classifying EEG signals into one of six sleep stages based on Supratak et. al 2017☆12Updated 6 years ago
- ☆43Updated 3 years ago
- Notebooks for training the classifier of YASA sleep staging☆23Updated 3 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆41Updated 4 years ago
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆30Updated 4 years ago
- Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.☆105Updated 5 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 …☆53Updated 2 years ago