weiming1122 / 1D-ResNet-SE-LSTMLinks
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/
☆24Updated 2 years ago
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
Sorting:
- This model replaces the original CompactCNN with a Transformer model. It is designed to classify 1D EEG signals for the purpose of dr…☆12Updated 2 years ago
- Code for paper "MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification"☆14Updated 3 weeks ago
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆25Updated 2 years ago
- The Cross-modal SleepTransformer is a deep learning model designed for sleep stage classification based on multimodal physiological signa…☆24Updated last year
- [AAAI 2024] Generalizable Sleep Staging via Multi-Level Domain Alignment☆23Updated 4 months ago
- Codes for our paper "Triple-Attention-based Spatio-Temporal-Spectral Convolutional Network for Epileptic Seizure Prediction "☆21Updated 2 years ago
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging☆57Updated 4 years ago
- Convolutional neural network which uses 30 second single-channel EEG signals to detect apnea events. Kernels are visualised using Fourier…☆22Updated 2 years ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆81Updated 6 months ago
- ☆26Updated last year
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆39Updated last year
- This is a PyTorch implementation of "Multi-label Classification of Electrocardiogram with Modified Residual Networks" paper.☆18Updated 5 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 4 years ago
- MVMTnet - Multi-variate Multi-modal Transformer network implementation for multi-class classification of Cardiac abnormalities using clin…☆17Updated 2 years ago
- ☆13Updated 2 years ago
- A project emulating a GNN model which uses EEG data to identify depression in individuals.☆21Updated 2 years ago
- ☆57Updated 4 years ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆47Updated 2 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆62Updated 5 months ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆43Updated 9 months ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆58Updated 2 years ago
- ☆17Updated 3 years ago
- Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network☆41Updated 7 months ago
- ☆13Updated 2 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models☆18Updated 2 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆26Updated 5 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆35Updated 2 years ago
- ☆35Updated last year
- Emotion recognition base on EEG.☆19Updated 2 years ago