A Novel end-to-end Digital Health System Using Deep Learning-based ECG Analysis
#digital health system #deep learning #ECG analysis #cardiac abnormalities #remote monitoring #end-to-end solution #diagnostic insights
📌 Key Takeaways
- Researchers developed a novel digital health system integrating deep learning for ECG analysis.
- The system provides end-to-end solutions from data acquisition to diagnostic insights.
- Deep learning algorithms enhance accuracy in detecting cardiac abnormalities from ECG data.
- The approach aims to improve remote patient monitoring and early intervention capabilities.
📖 Full Retelling
arXiv:2603.16891v1 Announce Type: cross
Abstract: This study presents AI-HEART, a cloud-based information system for managing and analysing long-duration ambulatory electrocardiogram (ECG) recordings and supporting clinician decision-making. The platform operationalises an end-to-end pipeline that ingests multi-day three-lead ECGs, normalises inputs, performs signal preprocessing, and applies dedicated deep neural networks for wave delineation, noise/quality detection, and beat- and rhythm-leve
🏷️ Themes
Digital Health, Deep Learning, Cardiac Monitoring
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Original Source
arXiv:2603.16891v1 Announce Type: cross
Abstract: This study presents AI-HEART, a cloud-based information system for managing and analysing long-duration ambulatory electrocardiogram (ECG) recordings and supporting clinician decision-making. The platform operationalises an end-to-end pipeline that ingests multi-day three-lead ECGs, normalises inputs, performs signal preprocessing, and applies dedicated deep neural networks for wave delineation, noise/quality detection, and beat- and rhythm-leve
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