Identification of Hypoglycemia and Hyperglycemia in Type 1 Diabetic patients using ECG parameters

Publisher:
IEEE Xplore
Publication Type:
Conference Proceeding
Citation:
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2012, pp. 2716 - 2719
Issue Date:
2012-12-14
Full metadata record
Files in This Item:
Filename Description Size
201070.pdfPublished version511.07 kB
Adobe PDF
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 (QTeC), PR interval, corrected RT interval (RTC) and corrected TpTe interval (TpTe C ). Blood glucose levels were used to classify glycemic states in subjects as hypoglycemic state ( 60 mml/l, Hypo), as normoglycemic state (80 to 110 mmol/l, Normo), and as hyperglycemic state 150 mml/l, Hyper). The results indicated that hypoglycemic and hyperglycemic states produce significant inverse changes on those ECG parameters. © 2012 IEEE.
Please use this identifier to cite or link to this item: