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1. IEEE JOURNAL OF BIOM EDICAL AND HEALTH INFO RMATICS, VOL.9,
MAY 2014
An Interoperable System for Automated Diagnosis of Cardiac
Abnormalities from Electrocardiogram Data”.

2. Abstract
 Most web applications have critical bugs (faults) affecting their
security, which makes them vulnerable to attacks by hackers and
organized crime. To prevent these security problems from occurring it
is of utmost importance to understand the typical software faults. This
paper contributes to this body of knowledge by presenting a field study
on two of the most widely spread and critical web application
vulnerabilities: SQL Injection and XSS. It analyzes the source code of
security patches of widely used web applications written in weak and
strong typed languages. Results show that only a small subset of
software fault types, affecting a restricted collection of statements, is
related to security. To understand how these vulnerabilities are really
exploited by hackers, this paper also presents an analysis of the source
code of the scripts used to attack them. The outcomes of this study can
be used to train software developers and code inspectors in the
detection of such faults and are also the foundation for the research of
realistic vulnerability and attack injectors that can be used to assess
security mechanisms, such as intrusion detection systems,
vulnerability scanners, and static code analyzers

3. Existing System
 A schema of Ontology is generated on the basis of
cardiac diagnosis report prediction with the start, peak
and End points of the ECG curve measured with the x
and axis positions.
 A XML schema is a description of a type of XML
document, typically expressed in terms of constraints
on the structure and content of documents of that
type, above and beyond the basic syntactical
constraints imposed by XML itself.
 A xml schema is designed from the generated
ontological schema records for easier mapping for the
input digital electrocardiographic data.

4. Proposed System
 The manipulation of diagnosis report with the ECG curve
acquires many variations in heartbeat such as irregular,
slow, fast and normal.
 An ontological schema is designed to identify the cardiac
predictions of curves and xml schema is exploited in an
approach to map the ontological schema information with
the inputted image.
 Existing system attains the problem of inappropriate
diagnosis as the inputted ECG image sample acquires noisy
information that leads to false prediction of syndromes.
 The proposed system overcomes the problem of false
prediction of syndrome by validating the input image using
histogram techniques that validates the pixel for further
processing.

5. System Requirements
 Hardware Requirements:
Platform : DOTNET (VS2010) ,C# .NET
Dot net framework 4.0
Database : SQL Server 2008 R2
 Software Requirements:
Processor : Core 2 duo
Speed : 2.2GHZ
RAM : 2GB
Hard Disk : 160GB

6. Architecture Diagram