Non-invasive discrimination between diabetic states (HBA1C<8% and HBA1C>10%) using photoplethysmography

Diabetes mellitus is a group of metabolic diseases associated with the production and/or reaction of insulin leading to hyperglycemia. Glycated hemoglobin (HbA1c) level is generally measured for hyperglycemia. The risk of developing complications depends on both the duration of diabetes and hypergly...

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Main Author:	Usman, Sahnius
Format:	Thesis
Language:	English
Published:	2015
Subjects:	QE Geology
Online Access:	http://eprints.utm.my/id/eprint/78511/1/SahniusUsmanPFAB2015.pdf
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spelling	my-utm-ep.785112018-08-26T11:58:27Z Non-invasive discrimination between diabetic states (HBA1C<8% and HBA1C>10%) using photoplethysmography 2015 Usman, Sahnius QE Geology Diabetes mellitus is a group of metabolic diseases associated with the production and/or reaction of insulin leading to hyperglycemia. Glycated hemoglobin (HbA1c) level is generally measured for hyperglycemia. The risk of developing complications depends on both the duration of diabetes and hyperglycemia. A trend of increasing arterial stiffness has been identified in type 2 diabetes. Photoplethysmographic (PPG) pulse wave provides a ‘window’ into the properties of small arteries whereas stiffening of these arteries will alter the PPG waveform. In this research, the potential of PPG in discriminating between type 2 diabetic patients at risk of having HbA1c level > 10% has been investigated. To this end, PPG signals recorded from diabetic patients with different levels of HbA1c (HbA1c level < 8% and HbA1c level > 10%) were acquired from the index finger of the right arm of 101 subjects (53 subjects with HbA1c level < 8% and 48 subjects with HbA1c level > 10%) at a sampling rate of 275 Hz. The area under the curve of PPG (auc-PPG) was proposed in analyzing the PPG pulse contour. Results of t-test analysis show that auc-PPG is significantly larger in diabetic patients with HbA1c level < 8% than in those with HbA1c level > 10% (p-value <0.001). Repeated measurement of PPG using paired t-test on 30 diabetic patients with HbA1c level < 8% and 26 diabetic patients with HbA1c level > 10% (total 56 subjects) show that there is no significant difference in the mean value of auc-PPG between the first measurement and repeated measurement for both groups. Finally, a logistic regression model for estimating the risk of having HbA1c level > 10% among diabetic patients was estimated using data from 51 female diabetic patients. The model shows that the auc-PPG is an independent predictor for estimating the risk of having HbA1c level > 10% (p-value = 0.005) among female diabetic patients. 2015 Thesis http://eprints.utm.my/id/eprint/78511/ http://eprints.utm.my/id/eprint/78511/1/SahniusUsmanPFAB2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:98791 phd doctoral Universiti Teknologi Malaysia, Faculty of Built Environment Faculty of Built Environment
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QE Geology
spellingShingle	QE Geology Usman, Sahnius Non-invasive discrimination between diabetic states (HBA1C<8% and HBA1C>10%) using photoplethysmography
description	Diabetes mellitus is a group of metabolic diseases associated with the production and/or reaction of insulin leading to hyperglycemia. Glycated hemoglobin (HbA1c) level is generally measured for hyperglycemia. The risk of developing complications depends on both the duration of diabetes and hyperglycemia. A trend of increasing arterial stiffness has been identified in type 2 diabetes. Photoplethysmographic (PPG) pulse wave provides a ‘window’ into the properties of small arteries whereas stiffening of these arteries will alter the PPG waveform. In this research, the potential of PPG in discriminating between type 2 diabetic patients at risk of having HbA1c level > 10% has been investigated. To this end, PPG signals recorded from diabetic patients with different levels of HbA1c (HbA1c level < 8% and HbA1c level > 10%) were acquired from the index finger of the right arm of 101 subjects (53 subjects with HbA1c level < 8% and 48 subjects with HbA1c level > 10%) at a sampling rate of 275 Hz. The area under the curve of PPG (auc-PPG) was proposed in analyzing the PPG pulse contour. Results of t-test analysis show that auc-PPG is significantly larger in diabetic patients with HbA1c level < 8% than in those with HbA1c level > 10% (p-value <0.001). Repeated measurement of PPG using paired t-test on 30 diabetic patients with HbA1c level < 8% and 26 diabetic patients with HbA1c level > 10% (total 56 subjects) show that there is no significant difference in the mean value of auc-PPG between the first measurement and repeated measurement for both groups. Finally, a logistic regression model for estimating the risk of having HbA1c level > 10% among diabetic patients was estimated using data from 51 female diabetic patients. The model shows that the auc-PPG is an independent predictor for estimating the risk of having HbA1c level > 10% (p-value = 0.005) among female diabetic patients.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Usman, Sahnius
author_facet	Usman, Sahnius
author_sort	Usman, Sahnius
title	Non-invasive discrimination between diabetic states (HBA1C<8% and HBA1C>10%) using photoplethysmography
title_short	Non-invasive discrimination between diabetic states (HBA1C<8% and HBA1C>10%) using photoplethysmography
title_full	Non-invasive discrimination between diabetic states (HBA1C<8% and HBA1C>10%) using photoplethysmography
title_fullStr	Non-invasive discrimination between diabetic states (HBA1C<8% and HBA1C>10%) using photoplethysmography
title_full_unstemmed	Non-invasive discrimination between diabetic states (HBA1C<8% and HBA1C>10%) using photoplethysmography
title_sort	non-invasive discrimination between diabetic states (hba1c<8% and hba1c>10%) using photoplethysmography
granting_institution	Universiti Teknologi Malaysia, Faculty of Built Environment
granting_department	Faculty of Built Environment
publishDate	2015
url	http://eprints.utm.my/id/eprint/78511/1/SahniusUsmanPFAB2015.pdf
_version_	1747818002930204672

Non-invasive discrimination between diabetic states (HBA1C<8% and HBA1C>10%) using photoplethysmography

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