Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non-invasive diabetes detection

• Published in: IET circuits, devices & systems Vol. 11; no. 6; pp. 682 - 687
• Main Authors: Lekha, Srinivasan, Manikandan, Suchetha
• Format: Journal Article
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 01.11.2017; John Wiley & Sons, Inc; Wiley
• Subjects: Acetone; acetone gas; acetone level measurement; admittance; bio-marker; biomedical electronics; bioMEMS; biosensor; biosensors; blood glucose levels; Breath tests; Chromatography; conductance gain; crystal surface; Diabetes; diseases; Gases; Glucose; level measurement; mass concentration; mass deposition; mass variations; mathematical modelling; microsensors; modified Butterworth van Dyke circuit model; noninvasive diabetes detection; piezoelectric sensor; piezoelectric transducers; Piezoelectricity; quartz crystal microbalance sensor; quartz crystal microbalances; Quartz crystals; reliable noninvasive diabetes prediction system; Research Article; Resonant frequencies; resonant frequency; sensor electrical characteristics; Sensors; simulation analysis; Spectrum analysis; sugar; VOCs; Volatile organic compounds; piezoelectric sensor; microsensors; blood glucose levels; bioMEMS; reliable noninvasive diabetes prediction system; bio-marker; resonant frequency; acetone gas; mass concentration; quartz crystal microbalance sensor; sensor electrical characteristics; biomedical electronics; conductance gain; acetone level measurement; crystal surface; modified Butterworth van Dyke circuit model; mass deposition; piezoelectric transducers; biosensor; quartz crystal microbalances; level measurement; mass variations; diseases; biosensors; admittance; mathematical modelling; noninvasive diabetes detection; simulation analysis; sugar

In recent times, there is an intense need for a reliable non-invasive diabetes prediction system. Some of the researches in this field suggest that acetone gas in breath has a good correlation to blood glucose levels. Hence, acetone is emerging as a promising bio-marker in diabetes prediction. In th...