US Patent Issued to Ecole Polytechnique Federale De Lausanne (EPFL) on Sept. 15 for "System and methods for real time noninvasive estimation of cardiovascular parameters using machine learning" (Swiss Inventors)

ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,733,820, issued on Sept. 15, was assigned to Ecole Polytechnique Federale De Lausanne (EPFL) (Lausanne, Switzerland).

"System and methods for real time noninvasive estimation of cardiovascular parameters using machine learning" was invented by Vasiliki Bikia (Lausanne, Switzerland), Stamatia Pagoulatou (Lausanne, Switzerland) and Nikolaos Stergiopulos (Preverenges, Switzerland).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are provided for that use noninvasively measured physiologic parameters to predict in real time noninvasively unobservable cardiovascular parameters by employing a one-dimensional arterial tree numerical model cal...