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Intelligent Information Extractor through Artificial Data Analyzer Mechanism in Electrocardiogram Data

Authors(2) :-Dhayalan. D, Nooray Salma. S

Electrocardiography is a test that checks for problems with the heart. It gives details of the state of the heart and any disturbance in the heart sound can be diagnosed. It is very useful for the medical field. The XML ontology integrates ECG waveform data, data descriptions, and cardiac diagnosis rules. It is used for providing an ability to both represent ECG waveform as well as do automated diagnosis of 37 cardiac abnormalities. It does not tune-up the image of the ECG before image processing as the noise percentage misleads to the diagnosis report. The histogram process is performed to rectify the noise from the input image and the image is tuned up. The RGB image is converted to the grayscale using the image blending technique for the segmentation process. The tuned up image with enhancement in quality is performed in perfectly. In the proposed system, an image validation of histogram process is formulated and it is to change the noise obtained in the input ECG Image. The Validated ECG image has been measured with its amplitude and height to measure the abnormalities using XML ontology. It overcomes in terms of time and accuracy has been visualized graphically.
Dhayalan. D, Nooray Salma. S
ECG, Validate Image, Histogram process, Cardiac abnormality, XML Ontology
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Publication Details
  Published in : Volume 2 | Issue 1 | January-February 2016
  Date of Publication : 2016-03-05
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 86-92
Manuscript Number : IJSRST162129
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Dhayalan. D, Nooray Salma. S, "Intelligent Information Extractor through Artificial Data Analyzer Mechanism in Electrocardiogram Data", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 2, Issue 1, pp.86-92, January-February-2016.
Journal URL : http://ijsrst.com/IJSRST162129

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