weiming1122 / 1D-ResNet-SE-LSTM
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' https://www.biorxiv.org/content/10.1101/2023.03.29.534672v1 & https://peerj.com/articles/cs-1561/
☆21Updated last year
Alternatives and similar repositories for 1D-ResNet-SE-LSTM:
Users that are interested in 1D-ResNet-SE-LSTM are comparing it to the libraries listed below
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆12Updated last year
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- Emotion-Classification-by-EEG-DEAP-Dataset implemented in 2DCNNN-LSTM-1DCNN+GRU and the 1D_cnn+gru model gives the highest accuracy☆10Updated last year
- Codes for our paper "Triple-Attention-based Spatio-Temporal-Spectral Convolutional Network for Epileptic Seizure Prediction "☆20Updated 2 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆33Updated 10 months ago
- ☆13Updated last year
- Emotion recognition base on EEG.☆16Updated last year
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆22Updated 2 years ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆10Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆25Updated last year
- Emotion classification from Brain EEG signals using a hybrid CNN-Transformer model and various ML algorithms.☆21Updated last year
- A implementation of Gramian Angular Field (GAF) in Pytorch.☆14Updated last year
- ☆15Updated last year
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆12Updated 4 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆36Updated 3 months ago
- Transfer learning for multi source EEG-emotion-classification☆14Updated 4 years ago
- This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existin…☆10Updated last year
- ☆26Updated 5 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☆43Updated 4 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆15Updated last year
- In this Basic Tutorial, I have used 1DCNN for EEG classification using random dataset, You can use your own dataset☆19Updated 5 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
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆41Updated 10 months ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆69Updated 2 years ago
- ☆18Updated 4 years ago
- Synthesize plausible ECG signals via Generative adversarial networks☆25Updated 2 years ago
- 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