LiAngelo / signal_processingLinks
Different methods(STFT, CWT) transform EEG signal into image visualization
☆16Updated 4 years ago
Alternatives and similar repositories for signal_processing
Users that are interested in signal_processing are comparing it to the libraries listed below
Sorting:
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 4 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 5 months ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆45Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆55Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆71Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆21Updated 2 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 2 months ago
- Towards Domain Free Transformer for Generalized EEG Pre-training☆27Updated 5 months ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆67Updated 5 months ago
- BrainFusion is an open-source Python platform for analyzing multimodal physiological signals (EEG, EMG, ECG, fNIRS). It offers preprocess…☆28Updated 3 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 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
- ☆21Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆39Updated 2 years ago
- code for LMDA☆84Updated 2 years ago
- ☆27Updated 10 months ago
- Graph Convolutional Networks for 4-class EEG Classification☆85Updated 5 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆18Updated last year
- Analysis of Transformer attention in EEG signal classification☆45Updated last year
- ☆13Updated 2 years ago
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆17Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆26Updated 4 months ago
- ☆11Updated 2 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆62Updated 3 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆47Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆112Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆139Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 3 years ago