NCBI PubMed Central
open access
ReHeartNet: Reconstruct Electrocardiogram From Photoplethysmography by Using Dense Connected Deep Learning Model.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
Checking your browser before accessing pmc.ncbi.nlm.nih.gov ... Click here if you are not automatically redirected after 5 seconds.
Related documents
- Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU#986605
- Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU#668039
- Deep learning enables diagnosis of atrial cardiomyopathy from routine 12-lead electrocardiogram#147941
- Deep learning enables diagnosis of atrial cardiomyopathy from routine 12-lead electrocardiogram#143847
- Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking#987312
Record · ID 4458 · SHA-256 e3a3219a172d7ae6
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive