利用心电图参数识别1型糖尿病患者的低血糖和高血糖情况。
Identification of hypoglycemia and hyperglycemia in type 1 diabetic patients using ECG parameters.
作者信息
Nguyen Linh Lan, Su Steven, Nguyen Hung T
机构信息
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW 2007, Australia.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2716-9. doi: 10.1109/EMBC.2012.6346525.
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.
低血糖和高血糖都是与糖尿病相关的严重疾病。在1型糖尿病患者中，有一些人同时经历过低血糖和高血糖事件。本研究的目的是基于该人群的心电图变化来识别低血糖和高血糖。已经开发了一种基于LabVIEW软件的心电图采集和分析系统，用于收集心电图信号并提取具有异常变化的特征。心电图参数包括心率（HR）、校正QT间期（QTeC）、PR间期、校正RT间期（RTC）和校正TpTe间期（TpTe(C)）。血糖水平用于将受试者的血糖状态分类为低血糖状态（≤60 mmol/l，低血糖）、正常血糖状态（80至110 mmol/l，正常血糖）和高血糖状态（>150 mmol/l，高血糖）。结果表明，低血糖和高血糖状态会使这些心电图参数产生显著的相反变化。
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