Setiawan, Samuel Andrew and Iskandar, Aulia Arif and Fathony, Muhammad (2020) Development of Cloud Computing Algorithm for Arrhythmia Detection and Heart Diseases. Bachelor thesis, Swiss German University.

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Abstract

Cardiovascular disease in Indonesia has become one of the leading causes of death after complications from stroke and diabetes. Therefore, early detection of heart disease is important. Heart abnormalities can be detected using an electrocardiogram device. General electrocardiogram limits the patient's mobility due to being wired with the instrument. The existence of an electrocardiogram with smart devices that can support cardiac arrhythmia detection is an innovation expected to improve patient comfort. The purpose of this study is to apply telecardiology that can be used for detecting cardiac abnormalities and to classify electrocardiogram data via cloud computing. In this research, we use a dedicated server after it was proven to be able to run in localhost and Node JS as the runtime-environment for running the application. The test datasets that has been chosen are from MIT-BIH Arrhythmia and Normal Sinus Rhythm Database for the Heart Rate Variability parameters to be extracted which are average heart rate, standard deviation of average heart rate and root mean square of the average heart rate. Using linear regression method and testing with 95% confidence interval, it is found that there are significant correlation between heart rate variability increase and cardiac arrythmia case where the value of the standard deviation of average heart rate being the most significant (P < 0.05). With this technology, it is expected to improve efficiency in proving cardiac arrhythmia and heart disease remotely.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	ECG; Telecardiology; Arrhythmia; Cloud Computing; Heart Rate
Subjects:	R Medicine > R Medicine (General) > R856 Biomedical engineering T Technology > T Technology (General) > T58.5 Information technology
Divisions:	Faculty of Life Sciences and Technology > Department of Biomedical Engineering
Depositing User:	Faisal Ifzaldi
Date Deposited:	02 Nov 2020 14:08
Last Modified:	08 Jun 2021 14:26
URI:	http://repository.sgu.ac.id/id/eprint/1881

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