sgoerttler / MSA-CNN
Code for paper "MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification"
☆11Updated 2 months ago
Alternatives and similar repositories for MSA-CNN
Users that are interested in MSA-CNN are comparing it to the libraries listed below
Sorting:
- ☆18Updated 5 months 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
- 2-Channel EEG Sleep Staging Algorithm using CNN-LSTM Architecture☆16Updated 4 years ago
- A Residual based Attention Model for EEG basedSleep Staging☆11Updated 3 years ago
- ☆16Updated 3 years ago
- ☆16Updated last year
- ☆26Updated last year
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆34Updated 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
- The Cross-modal SleepTransformer is a deep learning model designed for sleep stage classification based on multimodal physiological signa…☆17Updated 8 months ago
- MVMTnet - Multi-variate Multi-modal Transformer network implementation for multi-class classification of Cardiac abnormalities using clin…☆17Updated 2 years ago
- Codes for our paper "Triple-Attention-based Spatio-Temporal-Spectral Convolutional Network for Epileptic Seizure Prediction "☆21Updated 2 years ago
- ☆19Updated 2 years ago
- Multi-modal Physiological Signals based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging☆18Updated 3 months ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆30Updated 4 years ago
- ☆24Updated 2 years ago
- [IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"☆50Updated last year
- [Arxiv] Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework☆11Updated 2 months ago
- Official Code for Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG (IJCAI 2023)☆10Updated last year
- 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
- Code for the paper `A 1D-CNN based deep learning technique for sleep apnea detection in IoT sensors'☆20Updated 5 months ago
- ☆16Updated last year
- ☆7Updated 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）☆31Updated 2 years ago
- ☆7Updated 3 years ago
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆25Updated last year
- ☆22Updated 8 months ago
- Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network☆40Updated last month
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆55Updated 3 months ago