NDLI: Real-time detection of nocturnal hypoglycemic episodes using a novel non-invasive hypoglycemia monitor

Content Provider	IEEE Xplore Digital Library
Author	Nguyen, H.T. Ghevondian, N. Jones, T.W.
Copyright Year	2009
Description	Author affiliation: Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia (Nguyen, H.T.) \|\| Princess Margaret Hospital, Subiaco, Perth, WA 6008, Australia (Jones, T.W.) \|\| AIMedics Pty Ltd, Eveleigh, NSW 1430, Australia (Ghevondian, N.)
Abstract	Hypoglycemia or low blood glucose is a common and serious side effect of insulin therapy in patients with diabetes. Hypoglycemia is unpleasant and can result in unconsciousness, seizures and even death. HypoMon is a realtime non-invasive monitor that measures relevant physiological parameters continuously to provide detection of hypoglycemic episodes in Type 1 diabetes mellitus patients (T1DM). Based on heart rate and corrected QT interval of the ECG signal, we have continued to develop effective algorithms for early detection of nocturnal hypoglycemia. From a clinical study of 24 children with T1DM, associated with natural occurrence of hypoglycemic episodes at night, their heart rates increased (1.021±0.264 vs. 1.068±0.314, P<0.053) and their corrected QT intervals increased significantly (1.030±0.079 vs. 1.052±0.078, P<0.002). It is interesting to note that QT interval and heart rate are less correlated when the patients experienced hypoglycemic episodes through natural occurrence compared to when clamp studies were performed. The overall data were organized into a training set (12 patients) and a test set (another 12 patients) randomly selected. Using the optimal Bayesian neural network which was derived from the training set with the highest log evidence, the estimated blood glucose profiles produced a significant correlation (P<0.02) against measured values in the test set.
Starting Page	3822
Ending Page	3825
File Size	428056
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5335144
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate Heart rate interval Patient monitoring Blood Sugar Diabetes Testing Insulin Medical treatment Condition monitoring
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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