XML DATA PROCESSING APPROACH FOR AUTOMATIC IDENTIFICATION OF CARDIAC ABNORMALITIES IN ECG
Journal Title: Elysium Journal of Engineering Research and Management - Year 2015, Vol 2, Issue 3
Abstract
In medical applications, the process that records the electrical activity of the heart is termed as Electrocardiography (ECG). The traditional way of ECG is in the form of the transthoracic interpretation of heart’s electrical activity. Existing methodology focuses on diagnosing the 37 cardiac abnormalities by using XML ontology and ontological schema to identify the disease acquired. This methodology does not tune-up the image of the ECG before processing as the noise percentage misleads to the diagnosis report. In the proposed methodology, an image validation of histogram check is formulated to rectify the noise acquired in the input ECG Image. The validated ECG sample image has been measured with its height and amplitude to measure the abnormalities using XML ontology.
Authors and Affiliations
Divya R. , Kanagavalli V. R.
Keywords
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