Automatic Ecg Using Xml data Processing to Identify the Type of Heart Disease A.Snighdha me Cse.gkm College of Engineering and Technology Chennai, India

Electrocardiography is the recording of electrical activity of the heart. Existing methodology focuses on diagnosing cardiac abnormalities by using xml ontology to identify the type of disease acquired. A schema of ontology is generated on basis of cardiac diagnosis report prediction with start, peak and end points of the ECG curve measured with its x and y axis positions. A xml schema is the description of type of xml document typically expressed in terms of constraints on the structure and contents of the documents. A xml schema is generated from the generated ontological schema records for easy mapping for the input electrocardiographic data. The resultant of existing system is the diagnosis report of input electrocardiographic data. The resultant sort out the possible abnormalities with the advent of the pulse rate estimated in the ECG curve.The proposed system incorporates the technique of automatic generation of diagnosis report with the ECG image. A validation process is incorporated in the proposed system to remove the noisy information from the inputted image as it deceives the accuracy of the diagnosis report. An ontological schema is used to identify cardiac prediction of curves. Existing system involves inappropriate diagnosis as the inputted image may contain noisy information which may lead to false disease prediction. The proposed system overcomes the problem of false disease prediction by validating the image using histogram validation.