Identification of hypoglycemia and hyperglycemia in Type 1 diabetic patients using ECG parameters

Nguyen, L; Su, SW; Nguyen, HT

Identification of hypoglycemia and hyperglycemia in Type 1 diabetic patients using ECG parameters

Nguyen, L Su, SW Nguyen, HT

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012, pp. 2716 - 2719
Issue Date:: 2012-01

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Field	Value	Language
dc.contributor.author	Nguyen, L	en_US
dc.contributor.author	Su, SW	en_US
dc.contributor.author	Nguyen, HT	en_US
dc.contributor.editor	Khoo, MCK	en_US
dc.date	2012-08-28	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012, pp. 2716 - 2719	en_US
dc.identifier.isbn	978-1-4577-1787-1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22405
dc.description.abstract	Hypoglycemia and Hyperglycemia are both serious diseases related to diabetes mellitus. Among Type 1 Diabetic patients, there are who experience both hypoglycemic and hyperglycemic events. The aim of this study was to identify of hypoglycemia and hyperglycemia based on ECG changes in this population. An ECG Acquisition and Analysis System based on LabVIEW software has been developed for collecting ECG signals and extracting features with abnormal changes. ECG parameters included Heart rate (HR), corrected QT interval (QTc), PR interval, corrected RT interval (RTc) and corrected TpTe interval (TpTeC). The results indicated that hypoglycemic and hyperglycemic states produce significant inverse changes on those ECG parameters.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society	en_US
dc.relation.ispartof	International Conference of the IEEE Engineering in Medicine and Biology Society	en_US
dc.relation.isbasedon	10.1109/EMBC.2012.6346525	en_US
dc.rights	© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Diabetes Mellitus, Type 1	en_US
dc.subject.mesh	Hyperglycemia	en_US
dc.subject.mesh	Hypoglycemia	en_US
dc.subject.mesh	Electrocardiography	en_US
dc.title	Identification of hypoglycemia and hyperglycemia in Type 1 diabetic patients using ECG parameters	en_US
dc.type	Conference Proceeding
utslib.location	USA	en_US
utslib.location.activity	San Diego, California, USA	en_US
utslib.for	0903 Biomedical Engineering	en_US
dc.location.activity	San Diego, California, USA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	USA	en_US
pubs.start-date	2012-08-28	en_US

Abstract:

Hypoglycemia and Hyperglycemia are both serious diseases related to diabetes mellitus. Among Type 1 Diabetic patients, there are who experience both hypoglycemic and hyperglycemic events. The aim of this study was to identify of hypoglycemia and hyperglycemia based on ECG changes in this population. An ECG Acquisition and Analysis System based on LabVIEW software has been developed for collecting ECG signals and extracting features with abnormal changes. ECG parameters included Heart rate (HR), corrected QT interval (QTc), PR interval, corrected RT interval (RTc) and corrected TpTe interval (TpTeC). The results indicated that hypoglycemic and hyperglycemic states produce significant inverse changes on those ECG parameters.

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http://hdl.handle.net/10453/22405