XianhuiChen / Bottleneck-Attention-Based-Fusion-Network-for-Sleep-Apnea-DetectionLinks
☆25Updated last year
Alternatives and similar repositories for Bottleneck-Attention-Based-Fusion-Network-for-Sleep-Apnea-Detection
Users that are interested in Bottleneck-Attention-Based-Fusion-Network-for-Sleep-Apnea-Detection are comparing it to the libraries listed below
Sorting:
- MVMTnet - Multi-variate Multi-modal Transformer network implementation for multi-class classification of Cardiac abnormalities using clin…☆17Updated 2 years ago
- [IEEE BHI 2022] Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning☆40Updated last year
- The code for paper "A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification"☆28Updated 2 years ago
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆25Updated 2 years ago
- ☆56Updated 4 years ago
- This is a PyTorch implementation of "Multi-label Classification of Electrocardiogram with Modified Residual Networks" paper.☆18Updated 5 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆39Updated last year
- ☆73Updated 3 weeks ago
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆51Updated 2 years ago
- Practical cardiac events intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset☆29Updated 2 years ago
- [Biomedical Signal Processing and Control] ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional t…☆50Updated 5 months ago
- codes for paper: ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks☆14Updated 2 years ago
- The Cross-modal SleepTransformer is a deep learning model designed for sleep stage classification based on multimodal physiological signa…☆22Updated last year
- [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification☆131Updated 6 months ago
- The code for the paper of "Foundation Model of ECG: Diagnostics and explanations of any disease, form, or rhythm on any ECG"☆36Updated 7 months ago
- A COMPREHENSIVE ANALYSIS OF SLEEP APNEA☆55Updated 3 years ago
- Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network☆40Updated 6 months ago
- [AAAI 2024] Generalizable Sleep Staging via Multi-Level Domain Alignment☆22Updated 4 months ago
- CNN, Attention and Transformer based Hybrid Model for ECG Arrhythmia Classification☆34Updated 3 months ago
- Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG☆19Updated 6 months ago
- [MICCAI 2024] Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition☆55Updated 9 months ago
- Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models☆18Updated last year
- a ecg classfier based on PTB-XL database☆38Updated 4 years ago
- Code for paper "Open-World Electrocardiogram Classification via Domain Knowledge-Driven Contrastive Learning" (Neural Networks 2024)☆14Updated 2 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
- ☆22Updated 2 years ago
- [ISBI 2024] An implementation of TSRNet for ECG Anomaly Detection☆20Updated last year
- [Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series☆75Updated last year
- Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification☆108Updated 4 years ago
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging☆57Updated 4 years ago