Non-invasive Glucose Monitoring with Combinations of Near Infrared Spectroscopy and Metabolic Heat Conformation Technology Using Multivariate Analysis Approach

Diabetes Mellitus is among the top global health concern. It was reported by World Health Organization that millions of death was caused by diabetes and has been predicted that will increase in the next coming years. Hence monitoring of blood glucose level should be done since diabetes has not yet b...

Full description

Saved in:
Bibliographic Details
Main Authors: Rocha, Nestor A, Jr, Reyes, Rosula SJ
Format: text
Published: Archīum Ateneo 2020
Subjects:
Online Access:https://archium.ateneo.edu/ecce-faculty-pubs/81
https://dl.acm.org/doi/abs/10.1145/3431943.3431957
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Ateneo De Manila University
id ph-ateneo-arc.ecce-faculty-pubs-1080
record_format eprints
spelling ph-ateneo-arc.ecce-faculty-pubs-10802021-04-28T07:36:56Z Non-invasive Glucose Monitoring with Combinations of Near Infrared Spectroscopy and Metabolic Heat Conformation Technology Using Multivariate Analysis Approach Rocha, Nestor A, Jr Reyes, Rosula SJ Diabetes Mellitus is among the top global health concern. It was reported by World Health Organization that millions of death was caused by diabetes and has been predicted that will increase in the next coming years. Hence monitoring of blood glucose level should be done since diabetes has not yet been proclaimed to be a curable disease. Current existing methods used to measure blood glucose concentration are still predominantly and minimally invasive which involves pricking of finger or in another way to take blood samples. In this research, multi-technology -based non-invasive glucose monitoring system is being studied to measure blood glucose concentration level. The use of Near infrared spectroscopy and Metabolic Heat Conformation study is being conducted. The data gathered in Near Infrared Spectroscopy and conformation from different temperatures has been weighted using multivariate analysis. Fifteen participants were tested and data were calculated through Clarke Error Grid Analysis and percent error for validation. With CEGA, the results fall to region A which is estimated glucose value deviates for ±20% from the actual value with a percent error of 1.29%. 2020-10-01T07:00:00Z text https://archium.ateneo.edu/ecce-faculty-pubs/81 https://dl.acm.org/doi/abs/10.1145/3431943.3431957 Electronics, Computer, and Communications Engineering Faculty Publications Archīum Ateneo Computer Sciences Databases and Information Systems
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Computer Sciences
Databases and Information Systems
spellingShingle Computer Sciences
Databases and Information Systems
Rocha, Nestor A, Jr
Reyes, Rosula SJ
Non-invasive Glucose Monitoring with Combinations of Near Infrared Spectroscopy and Metabolic Heat Conformation Technology Using Multivariate Analysis Approach
description Diabetes Mellitus is among the top global health concern. It was reported by World Health Organization that millions of death was caused by diabetes and has been predicted that will increase in the next coming years. Hence monitoring of blood glucose level should be done since diabetes has not yet been proclaimed to be a curable disease. Current existing methods used to measure blood glucose concentration are still predominantly and minimally invasive which involves pricking of finger or in another way to take blood samples. In this research, multi-technology -based non-invasive glucose monitoring system is being studied to measure blood glucose concentration level. The use of Near infrared spectroscopy and Metabolic Heat Conformation study is being conducted. The data gathered in Near Infrared Spectroscopy and conformation from different temperatures has been weighted using multivariate analysis. Fifteen participants were tested and data were calculated through Clarke Error Grid Analysis and percent error for validation. With CEGA, the results fall to region A which is estimated glucose value deviates for ±20% from the actual value with a percent error of 1.29%.
format text
author Rocha, Nestor A, Jr
Reyes, Rosula SJ
author_facet Rocha, Nestor A, Jr
Reyes, Rosula SJ
author_sort Rocha, Nestor A, Jr
title Non-invasive Glucose Monitoring with Combinations of Near Infrared Spectroscopy and Metabolic Heat Conformation Technology Using Multivariate Analysis Approach
title_short Non-invasive Glucose Monitoring with Combinations of Near Infrared Spectroscopy and Metabolic Heat Conformation Technology Using Multivariate Analysis Approach
title_full Non-invasive Glucose Monitoring with Combinations of Near Infrared Spectroscopy and Metabolic Heat Conformation Technology Using Multivariate Analysis Approach
title_fullStr Non-invasive Glucose Monitoring with Combinations of Near Infrared Spectroscopy and Metabolic Heat Conformation Technology Using Multivariate Analysis Approach
title_full_unstemmed Non-invasive Glucose Monitoring with Combinations of Near Infrared Spectroscopy and Metabolic Heat Conformation Technology Using Multivariate Analysis Approach
title_sort non-invasive glucose monitoring with combinations of near infrared spectroscopy and metabolic heat conformation technology using multivariate analysis approach
publisher Archīum Ateneo
publishDate 2020
url https://archium.ateneo.edu/ecce-faculty-pubs/81
https://dl.acm.org/doi/abs/10.1145/3431943.3431957
_version_ 1728621338997817344