期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：8
DOI：10.15680/IJIRCCE.2015. 0308049
出版社：S&S Publications
摘要：The premature discovery of aberrant health conditions is essential to spot heart related problems andsave life. Electrocardiogram which is abbreviated as ECG, ECG data is used to diagnose various heart conditions bygenerating patterns based on the heart beats. Analyzing the ECG data with the conventional morphological features isvery tedious and tough. To analyze the health conditions, there are several devices and different format of data’s aregathered. The data collection and monitoring from different devices is very complicated and time consuming. Theproposed system begins with the HL7 medical communication standard, and integrates the data into XML file, and thenthis performs the cardiac abnormality finding process. Our proposed modal improves the accuracy in ECG diagnosis.This includes the detailed measurement of ECG waveform, which is used to diagnose wider range of health issues. Thisalso includes the demographical information such as gender and age for improving the accuracy. Our proposed schemecomprises sub type classification with the use of two more attributes renewed with ontology. Finally the ECG dataalong with the cardiac conditions have been mapped in an internet browser.
