SullyChen / SMoLK
Sparse Mixture of Learned Kernels for Interpretable and Efficient PPG Signal Quality Assessment and Artifact Segmentation
☆16Updated last month
Alternatives and similar repositories for SMoLK:
Users that are interested in SMoLK are comparing it to the libraries listed below
- A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables☆16Updated 3 years ago
- Interpretable Pre-Trained Transformers for Heart Time-Series Data☆34Updated 2 months ago
- ☆14Updated last year
- [JBHI 2024] Self-supervised pre-training on ECG collected in the wild☆13Updated last year
- (ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals☆53Updated 2 weeks ago
- Self-supervised pre-training for ECG representation with inspiration from transformers & computer vision☆23Updated 2 years ago
- SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection☆23Updated 8 months ago
- ECGDL: A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG☆16Updated last year
- Code Developed for my Masters Thesis titled: A real-time independent and inexpensive PPG signal quality classification tool for vital sig…☆13Updated 4 years ago
- [Biomedical Signal Processing and Control] ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional t…☆31Updated 9 months ago
- Implementation for Paper "Signal Quality Weighted Fusion of Attentional Convolution and Recurrent Neural Network"☆11Updated 8 months ago
- ☆20Updated last year
- Practical cardiac events intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset☆23Updated last year
- ElectroCardioGuard code (https://www.sciencedirect.com/science/article/pii/S0950705123007645, https://arxiv.org/abs/2306.06196)☆14Updated 5 months ago
- Source code of BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data☆16Updated 2 years ago
- Score-based diffusion method for surface electromyograpny signal denoising☆19Updated 8 months ago
- ☆17Updated 2 years ago
- The repository is associated with a paper titled "Fusion of edge detection and graph neural networks for classifying electrocardiogram si…☆20Updated last year
- We used Improved DDPM (developed by OpenAI) to generate synthetic ECG signals and compared it with WGAN-GP.☆18Updated last year
- ☆12Updated 3 years ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS☆20Updated 2 years ago
- Source code repository for the study: "Uncovering ECG Changes during Healthy Aging using Explainable AI"☆13Updated 10 months ago
- A Review of Deep Learning Methods for Photoplethysmography Data☆13Updated 6 months ago
- ☆20Updated 5 months ago
- Repository for the paper: 'Diffusion-based Conditional ECG Generation with Structured State Space Models'☆50Updated last year
- A comprehensive collection of PPG-related resources, including libraries, datasets, tutorials, papers, and more, for researchers and deve…☆21Updated last year
- DATA'20 - PPGraw is an analytical tool for the quality review of raw photoplethysmography (PPG) signals, based on 7 multi-varied decision…☆42Updated 4 years ago
- ECG time-series augmentations library☆25Updated last year
- Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"☆29Updated last year
- ☆13Updated 10 months ago