A non-invasive blood glucose meter design using multi - Type sensors

D. Nguyen, Hienvu Nguyen, Janet Roveda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


In this paper, we present a design of a multi optical modalities blood glucose monitor. The Monte Carlo tissues optics simulation with typical human skin model suggests the SNR ratio for a detector sensor is 104 with high sensitivity that can detect low blood sugar limit at 1 mMole/dL (<20 mg/dL). A Bayesian filtering algorithm is proposed for multisensor fusion to identify whether e user has the danger of having diabetes. The new design has real time response (on the average of 2 minutes) and provides great potential to perform real time monitoring for blood glucose.

Original languageEnglish (US)
Title of host publicationMedical Applications of Radiation Detectors II
StatePublished - 2012
EventMedical Applications of Radiation Detectors II - San Diego, CA, United States
Duration: Aug 16 2012Aug 16 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherMedical Applications of Radiation Detectors II
Country/TerritoryUnited States
CitySan Diego, CA


  • Bayesian filtering algorithm
  • Diabetes
  • Monte Carlo
  • Multi-sensor data fusion
  • Non-invasive blood glucose
  • Piezoelectric transducer
  • Tissues optics

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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