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

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.