Automatic ECG Anomalous Identification Using XML Data Processing

K. Mathivanan, K. Vijay

Abstract: Electrocardiography is the recording the electrical task of the heart. Traditionally this is in the form of a transthoracic interpretation of the electrical activity of the heart over a period of time. 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. Thus the proposed system overcomes the conflicts faced in the existing system and the performance in terms of time and accuracies has been visualized graphically.

Keywords: Electrocardiography, XML, Ontology, ECG Image, Image Validation, HL7

How to Cite?: K. Mathivanan, K. Vijay, "Automatic ECG Anomalous Identification Using XML Data Processing", Volume 4 Issue 3, March 2015, International Journal of Science and Research (IJSR), Pages: 2015-2020, https://www.ijsr.net/getabstract.php?paperid=SUB152562, DOI: https://dx.doi.org/10.21275/SUB152562

Download Citation: APA | MLA | BibTeX | EndNote | RefMan