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 5 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆53Updated 4 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆22Updated 3 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆49Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆43Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Updated 4 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆65Updated 3 years ago
- ☆21Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆71Updated 8 months ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆44Updated 5 months ago
- ☆88Updated 4 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆73Updated last year
- code for LMDA☆87Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 months ago
- ☆29Updated last year
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆144Updated 2 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 4 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆172Updated 5 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆41Updated 5 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆84Updated 4 years ago
- ☆13Updated 3 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆87Updated 5 years ago
- Feature extraction for EEG signals☆29Updated 5 years ago