Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non‐invasive diabetes detection
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...
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| Format: | Article |
| Language: | English |
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Wiley
2017-11-01
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| Series: | IET Circuits, Devices and Systems |
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| Online Access: | https://doi.org/10.1049/iet-cds.2017.0002 |
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| author | Srinivasan Lekha Suchetha Manikandan |
| author_facet | Srinivasan Lekha Suchetha Manikandan |
| author_sort | Srinivasan Lekha |
| collection | DOAJ |
| description | 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 this study, acetone levels are measured using quartz crystal microbalance sensor that has wide‐scale application as a bio‐sensor. It is a piezoelectric sensor which is used to detect and quantify mass variations. The resonant frequency of the sensor changes when there is a deposition of mass on the surface of the crystal. The shift in resonant frequency is directly proportional to the change in the mass concentration. To estimate the performance of this sensor, it is required to understand the sensor's electrical characteristics such as its conductance gain and admittance. This study studies these characteristics and evaluates the behaviour of the sensor in the presence of various acetone concentrations in breath sample for healthy, type 1 and type 2 diabetic subjects. |
| format | Article |
| id | doaj-art-a8077454f55f4e85a56f5b91c3909ae2 |
| institution | Kabale University |
| issn | 1751-858X 1751-8598 |
| language | English |
| publishDate | 2017-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Circuits, Devices and Systems |
| spelling | doaj-art-a8077454f55f4e85a56f5b91c3909ae22025-02-03T01:32:08ZengWileyIET Circuits, Devices and Systems1751-858X1751-85982017-11-0111668268710.1049/iet-cds.2017.0002Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non‐invasive diabetes detectionSrinivasan Lekha0Suchetha Manikandan1School of Electronics EngineeringVellore Institute of TechnologyChennai CampusChennaiTamil NaduIndiaSchool of Electronics EngineeringVellore Institute of TechnologyChennai CampusChennaiTamil NaduIndiaIn 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 this study, acetone levels are measured using quartz crystal microbalance sensor that has wide‐scale application as a bio‐sensor. It is a piezoelectric sensor which is used to detect and quantify mass variations. The resonant frequency of the sensor changes when there is a deposition of mass on the surface of the crystal. The shift in resonant frequency is directly proportional to the change in the mass concentration. To estimate the performance of this sensor, it is required to understand the sensor's electrical characteristics such as its conductance gain and admittance. This study studies these characteristics and evaluates the behaviour of the sensor in the presence of various acetone concentrations in breath sample for healthy, type 1 and type 2 diabetic subjects.https://doi.org/10.1049/iet-cds.2017.0002mathematical modellingsimulation analysismodified Butterworth van Dyke circuit modelnoninvasive diabetes detectionreliable noninvasive diabetes prediction systemacetone gas |
| spellingShingle | Srinivasan Lekha Suchetha Manikandan Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non‐invasive diabetes detection IET Circuits, Devices and Systems mathematical modelling simulation analysis modified Butterworth van Dyke circuit model noninvasive diabetes detection reliable noninvasive diabetes prediction system acetone gas |
| title | Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non‐invasive diabetes detection |
| title_full | Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non‐invasive diabetes detection |
| title_fullStr | Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non‐invasive diabetes detection |
| title_full_unstemmed | Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non‐invasive diabetes detection |
| title_short | Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non‐invasive diabetes detection |
| title_sort | mathematical modelling and simulation analysis of a modified butterworth van dyke circuit model for non invasive diabetes detection |
| topic | mathematical modelling simulation analysis modified Butterworth van Dyke circuit model noninvasive diabetes detection reliable noninvasive diabetes prediction system acetone gas |
| url | https://doi.org/10.1049/iet-cds.2017.0002 |
| work_keys_str_mv | AT srinivasanlekha mathematicalmodellingandsimulationanalysisofamodifiedbutterworthvandykecircuitmodelfornoninvasivediabetesdetection AT suchethamanikandan mathematicalmodellingandsimulationanalysisofamodifiedbutterworthvandykecircuitmodelfornoninvasivediabetesdetection |