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Journal of Medical Systems
Published in: Journal of Medical Systems 10/2015

01-10-2015 | Patient Facing Systems

A Web Based Cardiovascular Disease Detection System

Authors: Hussam Alshraideh, Mwaffaq Otoom, Aseel Al-Araida, Haneen Bawaneh, José Bravo

Published in: Journal of Medical Systems | Issue 10/2015

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Abstract

Cardiovascular Disease (CVD) is one of the most catastrophic and life threatening health issue nowadays. Early detection of CVD is an important solution to reduce its devastating effects on health. In this paper, an efficient CVD detection algorithm is identified. The algorithm uses patient demographic data as inputs, along with several ECG signal features extracted automatically through signal processing techniques. Cross-validation results show a 98.29 % accuracy for the decision tree classification algorithm. The algorithm has been integrated into a web based system that can be used at anytime by patients to check their heart health status. At one end of the system is the ECG sensor attached to the patient’s body, while at the other end is the detection algorithm. Communication between the two ends is done through an Android application.
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Metadata
Title
A Web Based Cardiovascular Disease Detection System
Authors
Hussam Alshraideh
Mwaffaq Otoom
Aseel Al-Araida
Haneen Bawaneh
José Bravo
Publication date
01-10-2015
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 10/2015
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-015-0290-7

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