LiAngelo / signal_processingLinks
Different methods(STFT, CWT) transform EEG signal into image visualization
☆14Updated 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
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO☆7Updated 2 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆43Updated this week
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆18Updated 2 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 4 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated last month
- 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
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆21Updated 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 3 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆29Updated 4 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆15Updated last year
- ☆13Updated 2 years ago
- 基于一个公开数据集和一个BCI竞赛数据集,提供一个SVM-CSP运动想象二分类demo☆11Updated 3 years ago
- ☆22Updated last year
- Feature extraction for EEG signals☆28Updated 5 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆40Updated 5 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆43Updated last year
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- ☆33Updated 11 months 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
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- The code for "EEG-based Emotion Recognition Using Convolutional Neural Network with Functional Connections"☆11Updated 4 years ago
- DDGCNN for ssvep☆15Updated last year
- Using combination EA (Euclidean Alignment) and TCA (Transfer Component Analysis) for transfer learning approach for MI-based BCI. This wo…☆8Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- ☆20Updated last year