EasyG: An automated electrocardiograph analyzer and interpreter

Date of Publication

2006

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Jose Ronello Bartolome

Defense Panel Member

Nelson Marcos

Rigan Ap-apid,

Abstract/Summary

One test mostly being used in checking the health status of the patient is the use of ECGs or ECG. The use of ECG graphs are useful data in detecting the abnormal conditions of the person's heart such as heart defect, high blood pressure and more heart impairments. Today, the reading and interpretation of ECG can only be done by medical experts and technicians, and this can be expensive. This research intends to create a software that can be accept ECG data in the form of an image file which the software will use in conducting image processing and pattern matching algorithms to formulate the interpretation of the status of the ECG data inputted. In general, the system intends to diagnose and interpret the ECG of the person. The system will basically use image processing algorithms to isolate the ECG input and pattern recognition algorithms to process and find similarities of the Electrocardiograph of the user to the templates stored and being used by the system.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU14616

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

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