lbwnbZx / EEG_MI_wavelet_CNN_Test
基于小波变换和卷积神经网络的脑电运动成像信号分类
☆45Updated 4 years ago
Alternatives and similar repositories for EEG_MI_wavelet_CNN_Test
Users that are interested in EEG_MI_wavelet_CNN_Test are comparing it to the libraries listed below
Sorting:
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆26Updated 2 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆106Updated 5 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆129Updated last year
- A CNN + LSTM architecture to predict seizure from EEG data☆44Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- code for LMDA☆79Updated last year
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆79Updated 4 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- An EEG dichotomy program file , using CSP and SVM.☆23Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 4 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆110Updated 4 years ago
- BCI Competition IV dataset 2a☆27Updated 5 years ago
- Feature extraction for EEG signals☆28Updated 5 years ago
- ☆67Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆41Updated last year
- A list of papers for motor imagery using machine learning/deep learning.☆77Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆106Updated 2 years ago
- bci_program for BCI IV 2b☆9Updated 6 years ago
- Python implemementation of the FBCSP algorithm☆32Updated 11 months 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
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆22Updated 3 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆53Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- Implement simple EEG classification models which are EEGNet, DeepConvNet with BCI competition dataset☆19Updated 5 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 3 years ago