Prototype early warning system for heart disease detection using Android Application

Fadilla Zennifa, Fitrilina, Husnil Kamil, Keiji Iramina

Research output: Contribution to journalArticle

Abstract

Heart Disease affects approximately 70 million people worldwide where most people do not even know the symptoms. This research examines the prototype of early warning system for heart disease by android application. It aims to facilitate users to early detect heart disease which can be used independently. To build the application in android phone, variable centered intelligence rule system (VCIRS) as decision makers and pulse sensor - Arduino as heart rate detector were applied in this study. Moreover, in Arduino, the heart rate will become an input for symptoms in Android Application. The output of this system is the conclusion statement of users diagnosed with either coronary heart disease, hypertension heart disease, rheumatic heart disease or do not get any kind of heart disease. The result of diagnosis followed by analysis of the value of usage variable rate (VUR) rule usage rate (RUR) and node usage rate (NUR) that shows the value of the rule that will increase when the symptoms frequently appear. This application was compared with the medical analysis from 35 cases of heart disease and it showed concordance between diagnosis from android application and expert diagnosis of the doctors.

Original languageEnglish
Pages (from-to)3468-3471
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2014
DOIs
Publication statusPublished - 2014
Externally publishedYes

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Alarm systems
Heart Diseases
Heart Rate
Rheumatic Heart Disease
Intelligence
Coronary Disease
Hypertension
Research
Detectors

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Cite this

Prototype early warning system for heart disease detection using Android Application. / Zennifa, Fadilla; Fitrilina; Kamil, Husnil; Iramina, Keiji.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 2014, 2014, p. 3468-3471.

Research output: Contribution to journalArticle

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