Personalized parameter modeling methods and related devices and systems

A processor-implemented method comprises obtaining current operational context information associated with a sensing device; obtaining an expected calibration factor parameter model associated with a patient; calculating an expected calibration factor value based on the expected calibration factor p...

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Bibliographic Details
Main Authors Nogueira, Keith, Lu, Yunfeng, Varsavsky, Andrea, Nishida, Jeffrey
Format Patent
LanguageEnglish
Published 02.01.2024
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Summary:A processor-implemented method comprises obtaining current operational context information associated with a sensing device; obtaining an expected calibration factor parameter model associated with a patient; calculating an expected calibration factor value based on the expected calibration factor parameter model and the current operational context information; obtaining one or more electrical signals from the sensing device, the one or more electrical signals having a signal characteristic indicative of a physiological condition; converting the one or more electrical signals into a calibrated measurement value for the physiological condition using the expected calibration factor value; and outputting the calibrated measurement value for the physiological condition.
Bibliography:Application Number: US202218045034