A study on the physio-grid system for advanced physiological disease identification

Abstract

As science and medical technologies are advanced, a graying society is coming in whole world. And increasing the population of old people, growing the interest regarding the health is. However, in spite of the interest regarding the health, many people are receiving a pain with disease. Especially, physiological disease is the one of most serious disease which threatens people. Now there are several methods for detecting Physiological disease and ECG signal analysis may be a typical solution. However, ECG method has critical limitation of low diagnostic accuracy in some parts. So, ECG-related research is considering both increasing a number of channel and longterm ECG data, ECG has diagnosis limitation basically though. In order to make up for these weak points in ECG, a lot of researches such as virtual heart, MCG and others are now under way. Especially MCG is a rising solution for detecting physiological disease. This method has high accuracy in usual. In addition, virtual heart simulation can provide a basis of decision for more accurate diagnosis about abnormal ECG, MCG signal. Namely, using Virtual Heart, we can anticipate accurate place of affected heart tissue in heart (ECG, MCG might not). And in e-Health system``s point of view, the conventional e-Health systems for physiological disease don``t have any combination of other diagnosis methods and management & integration system of distributed huge data. Therefore in this paper, we propose advanced medical system integrating diagnosis methods and using grid technologies in order to solve interpreted problems. For providing advanced physiological disease identification, grid computing technologies might be essential. In integrating diagnosis environment, we applied grid technologies to 3 big parts. The First, high performance computational technique is applied. Each diagnosis methods might be processed to get diagnosis results and sometimes the diagnosis results need post-processing for advanced diagn...