eason123789 / Transformer-for-Single-Channel-EEGLinks
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 2 years ago
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
Sorting:
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 4 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆59Updated 2 years ago
- 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)☆34Updated 2 years ago
- Emotion-Classification-by-EEG-DEAP-Dataset implemented in 2DCNNN-LSTM-1DCNN+GRU and the 1D_cnn+gru model gives the highest accuracy☆11Updated 2 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆39Updated last year
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Updated 3 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 5 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆43Updated 10 months ago
- A CNN + LSTM architecture to predict seizure from EEG data☆49Updated 2 years ago
- [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"☆256Updated 2 years ago
- ☆23Updated 2 years ago
- Epileptic Seizure Detection on EEG Data based on CHB-MIT database.☆21Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆74Updated 2 years ago
- Emotion recognition base on EEG.☆19Updated 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…☆13Updated 2 years ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆10Updated 3 years ago
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆15Updated 3 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆65Updated 2 years ago
- ☆23Updated 3 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years 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☆47Updated 4 years ago
- Codes for our paper "Triple-Attention-based Spatio-Temporal-Spectral Convolutional Network for Epileptic Seizure Prediction "☆21Updated 3 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆65Updated 6 months ago
- ☆15Updated 4 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆22Updated 3 years ago
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification☆109Updated 4 years ago
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆15Updated 5 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆37Updated 3 months ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆189Updated 6 months ago