A self-organising fuzzy estimator for hypoglycaemia monitoring in diabetic patients

Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286) Pub Date : 1998-10-29 DOI:10.1109/IEMBS.1998.747135

G. Hastings, N. Ghevondian, H. Nguyen

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引用次数: 12

Abstract

Hypoglycaemia is the most common complication experienced by patients with Type 1 insulin dependent diabetes mellitus (IDDM). During hypoglycaemia, physiological parameter changes occur in patients, due to the sympathetic nervous system, of which the most predominant parameters are sweating and heart rate. Non-invasive monitoring and detecting hypoglycaemia in diabetic patients requires simultaneous measurements of body functions such as sweating, breathing patterns, recording EEG and heart rate. A hypoglycaemic monitor has been developed to help the physician predict the onset of hypoglycaemia. This paper describes the development of a fuzzy estimator as the main software engine of the hypoglycaemic monitor. The fuzzy estimator consists of an initial static estimator and has been expanded using self organisation to enhance it's flexibility.

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用于糖尿病患者低血糖监测的自组织模糊估计器

低血糖是1型胰岛素依赖型糖尿病(IDDM)患者最常见的并发症。低血糖时，由于交感神经系统的作用，患者的生理参数发生变化，其中最主要的参数是出汗和心率。无创监测和检测糖尿病患者的低血糖需要同时测量身体功能，如出汗、呼吸模式、记录脑电图和心率。低血糖监测仪已经开发出来，以帮助医生预测低血糖的发作。本文介绍了作为低血糖监测仪主要软件引擎的模糊估计器的开发。该模糊估计器由一个初始静态估计器组成，并利用自组织对其进行扩展以增强其灵活性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286)

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