A Web Based Cardiovascular Disease Detection System

Nowadays, Cardiovascular Disease (CVD) is one of the most catastrophic and life threatening common health issues. Early detection of CVD is one of the most important solutions to reduce its devastating effects on health. In this paper, an efficient detection algorithm is identified. The algorithm us...

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Bibliographic Details
Published inUbiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services pp. 243 - 250
Main Authors Alshraideh, Hussam, Otoom, Mwaffaq, Al-Araida, Aseel, Bawaneh, Haneen, Bravo, José
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2014
SeriesLecture Notes in Computer Science
Subjects
Cardiovascular
Classification
Electrocardiography
WEKA
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ISBN9783319131016
331913101X
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-13102-3_40

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Summary:Nowadays, Cardiovascular Disease (CVD) is one of the most catastrophic and life threatening common health issues. Early detection of CVD is one of the most important solutions to reduce its devastating effects on health. In this paper, an efficient 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 algorithm. The algorithm is also 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.
ISBN:9783319131016
331913101X
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-13102-3_40