US Patent Issued to Academia Sinica on Jan. 27 for "Photoplethysmography based non-invasive blood glucose prediction by neural network" (Taiwanese Inventors)

ALEXANDRIA, Va., Jan. 28 -- United States Patent no. 12,533,053, issued on Jan. 27, was assigned to Academia Sinica (Taipei, Taiwan).

"Photoplethysmography based non-invasive blood glucose prediction by neural network" was invented by Fu-Liang Yang (Hsinchu, Taiwan) and Justin Chu (Taoyuan, Taiwan).

According to the abstract* released by the U.S. Patent & Trademark Office: "The PPG based NIBG neural network prediction system of the present invention comprises a neural network configured to predict BG level of a subject based on PPG signal obtained from the subject wherein the subject is not undergoing medical treatment and the neural network is trained using training data from subjects not undergoing medical treatment. In another embodime...