@inproceedings{98d4d056531a48748a8a13aae4be7783,
title = "A non-invasive blood glucose meter design using multi - Type sensors",
abstract = "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.",
keywords = "Bayesian filtering algorithm, Diabetes, Monte Carlo, Multi-sensor data fusion, Non-invasive blood glucose, Piezoelectric transducer, Tissues optics",
author = "D. Nguyen and Hienvu Nguyen and Janet Roveda",
year = "2012",
doi = "10.1117/12.929108",
language = "English (US)",
isbn = "9780819492258",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Medical Applications of Radiation Detectors II",
note = "Medical Applications of Radiation Detectors II ; Conference date: 16-08-2012 Through 16-08-2012",
}