Physio-grid system for advanced identification of heart disease

Author

Youn, Chan-Hyun ; Chang Hee Han ; Han, Younjoo ; Soon Sung Kwon ; Eun Bo Shim

Author_Institution

Inf. & Commun. Univ., Kangwon

fYear

2008

fDate

7-9 July 2008

Firstpage

13

Lastpage

17

Abstract

Currently, several ways for detecting heart disease are employed and ECG (Electrocardiogram) signal study is one of the typical solutions. The other method such as MCG (Magnetocardiogram) has been researched for heart disease detection. However, ECG and MCG have their own feeble points and also limitations in system performance according to the increase of data in quantity. Thus, in order for improvement of ECG and MCG diagnosis methods, we propose an integrated-diagnosis system applying grid technologies which is termed as a Physio-Grid system. We conduct the experimental and evaluate proposed system to show improvements in diagnosis and system performance. The results indicate that the proposed physio-Grid system provides the reasonable medical services and also it guarantees high system performance in data management and high capability in diagnosis.

Keywords

diseases; electrocardiography; grid computing; magnetocardiography; medical diagnostic computing; patient diagnosis; data management; electrocardiogram signal; heart disease; integrated-diagnosis system; magnetocardiogram; physio-grid system; Cardiac disease; Computational modeling; Computer architecture; Distributed computing; Electrocardiography; Grid computing; Heart; Resource management; System performance; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

e-health Networking, Applications and Services, 2008. HealthCom 2008. 10th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-2280-7

Electronic_ISBN

978-1-4244-2281-4

Type

conf

DOI

10.1109/HEALTH.2008.4600101

Filename

4600101