zhouxxd999 / Transformer-MSCNN_for_EEG
使用Transformer和CNN网络对脑电运动进行分类
☆13Updated last year
Alternatives and similar repositories for Transformer-MSCNN_for_EEG:
Users that are interested in Transformer-MSCNN_for_EEG are comparing it to the libraries listed below
- The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG data…☆12Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆43Updated last year
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆23Updated 10 months ago
- A CNN + LSTM architecture to predict seizure from EEG data☆41Updated last year
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆66Updated 3 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆51Updated 3 years ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆10Updated 2 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆34Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆57Updated last year
- Feature extraction for EEG signals☆28Updated 4 years ago
- code for LMDA☆70Updated last year
- DL model estimating vigilance levels using multimodal EEG and EOG☆26Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆28Updated last year
- Emotion Recognition Transformer Network Based EEG Signals.☆15Updated last year
- EEG Data Classification with CNN, LSTM/GRU, and Mixed LSTM Models☆38Updated 5 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☆24Updated last year
- Pytorch implementation of EEGNet.☆43Updated 2 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆28Updated 8 months ago
- 基于小波变换和卷积神经网络的脑电运动成像信号分类☆40Updated 4 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆64Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆80Updated 5 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆23Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆39Updated last month
- 脑电情绪识别☆13Updated 2 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆18Updated 3 years ago
- ACM MM 2023☆38Updated 2 months ago