Web-Based System for Advanced Heart Disease Identification Using Grid Computing Technology

2008 21st IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2008-06-17 DOI:10.1109/CBMS.2008.106

Changhee Han, Chan-Hyun Youn, W. Jung

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引用次数: 8

Abstract

Heart disease is one of the most serious medical problems which threaten human life. Now there are several methods for detecting heart disease and ECG (electrocardiogram) signal analysis is one of the typical solutions. The other method such as MCG (magnetocardiogram) is also recommended for heart disease detection. In computer society, the e-Health systems using these diagnosis methods have been developed. However, each diagnosis method has their own weak points and also limitations in system performance according to the increase of data in quantity. Therefore, in order to improve each diagnosis method and conventional e-Health system, we propose and implement a novel integrated-diagnosis system combining grid technologies which is termed as a Physio-Grid system. We present the experimental and evaluation data in order to show our system capability in diagnosis and system performance. The results indicate that the proposed e-Health system can provide the plausible medical services and also it guarantees high reliability and system performance in data management and in diagnosis.

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基于web的基于网格计算技术的高级心脏病识别系统

心脏病是威胁人类生命的最严重的医学问题之一。目前有几种检测心脏病的方法，心电图信号分析是其中一种典型的解决方案。另一种方法如MCG(心脏磁图)也被推荐用于心脏病检测。在计算机社会中，利用这些诊断方法的电子卫生系统得到了发展。然而，随着数据量的增加，每种诊断方法都有其自身的弱点和系统性能的局限性。因此，为了改进各种诊断方法和传统的电子医疗系统，我们提出并实现了一种结合网格技术的新型综合诊断系统，称为物理网格系统。为了展示系统的诊断能力和系统性能，我们给出了实验和评估数据。结果表明，所提出的电子医疗系统能够提供合理的医疗服务，在数据管理和诊断方面保证了较高的可靠性和系统性能。

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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2008 21st IEEE International Symposium on Computer-Based Medical Systems

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