Lausanne, Switzerland

Stamatia Pagoulatou

This inventor holds 1 USPTO granted patent. Top assignee: Ecole Polytechnique FÉDÉRALE De Lausanne (Epfl). Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Stamatia Pagoulatou. Retrieved from https://idiyas.com/inventor/stamatia-pagoulatou

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Stamatia Pagoulatou: Inventor in Cardiovascular Estimation

Introduction

Stamatia Pagoulatou is an inventor based in Lausanne, Switzerland, whose work includes a patent application focused on estimating cardiovascular parameters in real time. She is associated with École Polytechnique Fédérale de Lausanne (EPFL).

Latest Patents

Pagoulatou is named on 1 patent: “System and Methods for Real Time Noninvasive Estimation of Cardiovascular Parameters Using Machine Learning.” The invention uses noninvasively measured physiological parameters and a one-dimensional arterial-tree numerical model to estimate cardiovascular parameters that cannot be observed noninvasively. The model can be calibrated with representative patient data and further trained using larger databases, including synthetic data, to support generalized estimates of cardiovascular and hemodynamic parameters.

Career Highlights

Pagoulatou’s listed patent work brings together cardiovascular modeling and machine-learning methods. The approach aims to provide real-time estimates from noninvasive measurements.

Collaborations

The patent lists Vasiliki Bikia and Nikolaos Stergiopulos among Pagoulatou’s coworkers.

Conclusion

Stamatia Pagoulatou’s patent work at EPFL applies numerical modeling and machine learning to the noninvasive estimation of cardiovascular parameters.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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