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Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring

BACKGROUND: People with diabetes need to monitor their blood sugar levels constantly and attend health centers regularly for checkups. The aim of this study is to provide a healthcare system for mobile blood glucose and bilirubin monitoring. METHODS: It includes a sensor for noninvasive blood glucos...

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Autores principales: Javid, Bahareh, Fotouhi-Ghazvini, Faranak, Zakeri, Fahime Sadat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116315/
https://www.ncbi.nlm.nih.gov/pubmed/30181961
http://dx.doi.org/10.4103/jmss.JMSS_8_18
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author Javid, Bahareh
Fotouhi-Ghazvini, Faranak
Zakeri, Fahime Sadat
author_facet Javid, Bahareh
Fotouhi-Ghazvini, Faranak
Zakeri, Fahime Sadat
author_sort Javid, Bahareh
collection PubMed
description BACKGROUND: People with diabetes need to monitor their blood sugar levels constantly and attend health centers regularly for checkups. The aim of this study is to provide a healthcare system for mobile blood glucose and bilirubin monitoring. METHODS: It includes a sensor for noninvasive blood glucose and bilirubin measurement using near-infrared spectroscopy and optical method, respectively, communicating with a smartphone. RESULTS: It was observed that by increasing the glucose concentration, the output voltage of the sensor increases in transmittance mode and decreases in reflectance mode. Moreover, it was observed that by increasing the bilirubin concentration, the output voltage of sensor decreases in transmittance mode and increases in reflectance mode. In the collected data there was good correlations between voltage and concentration and their relationship were approximately linear. Therefore, it is possible to use noninvasive methods to predict the glucose or bilirubin concentration. In vivo experiments for glucose were carried out with 19 persons in training phase, and five persons were used for testing the model. The glucose behavior model was built into the mobile application. The average glucose concentrations from the transmittance and reflectance mode were obtained. The average percentage error was 8.27 and root mean square error was 18.52 mg/dL. CONCLUSIONS: From this research, it can be inferred that the noninvasive optical methods implemented on wireless sensors and smartphones could form a system that can be used at any time and any place in the future as an alternative to traditional invasive blood glucose and bilirubin measurement methods.
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spelling pubmed-61163152018-09-04 Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring Javid, Bahareh Fotouhi-Ghazvini, Faranak Zakeri, Fahime Sadat J Med Signals Sens Original Article BACKGROUND: People with diabetes need to monitor their blood sugar levels constantly and attend health centers regularly for checkups. The aim of this study is to provide a healthcare system for mobile blood glucose and bilirubin monitoring. METHODS: It includes a sensor for noninvasive blood glucose and bilirubin measurement using near-infrared spectroscopy and optical method, respectively, communicating with a smartphone. RESULTS: It was observed that by increasing the glucose concentration, the output voltage of the sensor increases in transmittance mode and decreases in reflectance mode. Moreover, it was observed that by increasing the bilirubin concentration, the output voltage of sensor decreases in transmittance mode and increases in reflectance mode. In the collected data there was good correlations between voltage and concentration and their relationship were approximately linear. Therefore, it is possible to use noninvasive methods to predict the glucose or bilirubin concentration. In vivo experiments for glucose were carried out with 19 persons in training phase, and five persons were used for testing the model. The glucose behavior model was built into the mobile application. The average glucose concentrations from the transmittance and reflectance mode were obtained. The average percentage error was 8.27 and root mean square error was 18.52 mg/dL. CONCLUSIONS: From this research, it can be inferred that the noninvasive optical methods implemented on wireless sensors and smartphones could form a system that can be used at any time and any place in the future as an alternative to traditional invasive blood glucose and bilirubin measurement methods. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6116315/ /pubmed/30181961 http://dx.doi.org/10.4103/jmss.JMSS_8_18 Text en Copyright: © 2018 Journal of Medical Signals & Sensors http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Javid, Bahareh
Fotouhi-Ghazvini, Faranak
Zakeri, Fahime Sadat
Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring
title Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring
title_full Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring
title_fullStr Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring
title_full_unstemmed Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring
title_short Noninvasive Optical Diagnostic Techniques for Mobile Blood Glucose and Bilirubin Monitoring
title_sort noninvasive optical diagnostic techniques for mobile blood glucose and bilirubin monitoring
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116315/
https://www.ncbi.nlm.nih.gov/pubmed/30181961
http://dx.doi.org/10.4103/jmss.JMSS_8_18
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