Precise Detection and Quantitative Prediction of Blood Glucose Level With an Electronic Nose System
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA
2. Department of Respiratory and Critical Care Medicine, Nanjing Medical University, Nanjing, China
Funder
Virginia Microelectronics Consortium
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9812846/09789967.pdf?arnumber=9789967
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1. Detection of diabetes from gas analysis of human breath using e-Nose
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4. Development and application of a new electronic nose instrument for the detection of colorectal cancer
5. Polyaniline nanocomposites based sensor array for breath ammonia analysis. Portable e-nose approach to non-invasive diagnosis of chronic kidney disease
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