Diffusion-based conditional ECG generation with structured state space models

2023/06/07 by Juan Miguel Lopez Alcaraz, Nils Strodthoff · 11 citations
Medicine · Computer Science · Neuroscience · #ECG Monitoring and Analysis #Machine Learning in Healthcare #Functional Brain Connectivity Studies

paper · doi:10.1016/j.compbiomed.2023.107115

Citations

• PhysioBank, PhysioToolkit, and PhysioNet
• Generative adversarial networks

Cited by

• Synthetic data generation methods in healthcare: A review on open-source tools and methods
• ECG Synthesis via Diffusion-Based State Space Augmented Transformer. [europepmc]
• S4D-ECG: A Shallow State-of-the-Art Model for Cardiac Abnormality Classification. [europepmc]
• Synthetic data generation methods in healthcare: A review on open-source tools and methods. [europepmc]
• Maternal ECG-Guided Neural Network for Improved Fetal Electrocardiogram Extraction. [europepmc]
• Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies. [europepmc]
• A review on generative AI models for synthetic medical text, time series, and longitudinal data. [europepmc]
• Principal component conditional generative adversarial networks for imbalanced ECG classification enhancement. [europepmc]
• DiffuSETS: 12-Lead ECG generation conditioned on clinical text reports and patient-specific information. [europepmc]
• Establishment and validation of an electrocardiogram vector-based machine learning model for the conversion of prone position electrocardiograms into standard electrocardiograms. [europepmc]
• AI-enabled privacy-preserving cardiac diagnostics via electrocardiograms. [europepmc]