Masimo Corporation

Cercacor Laboratories, Inc.

Hoi Wong

Jesse Chen

Mathew Paul

Massi Joe E Kiani

Marcelo M Lamego

Kevin Hughes Pauley

A blood glucose sensing system includes a plurality of physiological sensors. The system can estimate blood glucose based on discrete invasive blood glucose estimates from a blood sample, discrete noninvasive blood glucose estimates derived from optical sensors, and continuously-calculated blood glucose estimates derived from a nonlinear state-space model of glucose and insulin reactions within a human body. The state-space model has user-entered values corresponding to their insulin and meal intake. The user's blood glucose is estimated from a combination of the discrete invasive blood glucose estimates, the discrete noninvasive blood glucose estimates and the continuously-calculated blood glucose estimate.

Blood glucose sensing system

A blood glucose calibration system has a noninvasive sensor that attaches to a person's tissue site so as to generate multi-stream physiological data responsive to that person's blood constituents. Composite parameters, each in the form of a mathematical combination of invasive blood panel parameters, are derived from a general population and are responsive to the multi-stream physiological data. A population-based, blood glucose estimate for that person is derived from a weighted and scaled combination of these composite parameters. An individualized blood glucose estimate is then derived from the population-based blood glucose estimate and intermittent invasive test strip measurements of that particular individual.

Blood glucose calibration system

Growing community of inventors

Lake Forest, CA, United States of America

Hoi Wong