Physio-grid system for advanced identification of heart disease

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.