eason123789 / Transformer-for-Single-Channel-EEG
This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of driver drowsiness recognition.
☆12Updated last year
Alternatives and similar repositories for Transformer-for-Single-Channel-EEG:
Users that are interested in Transformer-for-Single-Channel-EEG are comparing it to the libraries listed below
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆48Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- Emotion classification from Brain EEG signals using a hybrid CNN-Transformer model and various ML algorithms.☆22Updated last year
- Emotion recognition base on EEG.☆16Updated last year
- 基于单通道脑电信号的自动睡眠分期研究(Automatic Sleep Staging Based on EEG Signal using Deep Network)☆31Updated 2 years ago
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆18Updated 3 months ago
- A CNN + LSTM architecture to predict seizure from EEG data☆44Updated 2 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆33Updated 11 months ago
- Codes for our paper "Triple-Attention-based Spatio-Temporal-Spectral Convolutional Network for Epileptic Seizure Prediction "☆21Updated 2 years ago
- The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG data…☆12Updated 2 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆37Updated 3 months ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆10Updated 5 months ago
- 使用Transformer和CNN网络对脑电运动进行分类☆13Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- ☆20Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- Codes for the paper 'Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals' h…☆22Updated last year
- ☆13Updated last year
- Different methods(STFT, CWT) transform EEG signal into image visualization☆13Updated 4 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆53Updated last year
- ☆15Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 6 months ago
- Feature extraction for EEG signals☆28Updated 5 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆79Updated 4 years ago
- code for LMDA☆79Updated last year
- This repository contains the code for our proposed method "Multi-source Feature Alignment and Label Rectification" (MFA-LR), which has be…☆17Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆12Updated 4 years ago