Beat: heart monitoring system

Shamsolnizam, Afif Fanshuri and Basri, Iskandar Zulkarnain and Zakaria, Noor Azura and Tajuddin, Taniza and Suryady, Zeldi (2022) Beat: heart monitoring system. In: 8th International Conference on Computing, Engineering and Design (ICCED), 28-29th July 2022, Sukabumi, Indonesia.

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Abstract

Cardiovascular Diseases (CVD) is a heart and blood disorder that affects people globally. CVD can be chronic if there is no early prevention. Our heart monitoring application, Beat is a personalized heart rate detector using smartphones and smartwatches that aims to assist in preventing CVD through the monitoring of heart rate. Machine learning algorithms were also incorporated into the application. This project shows that the usage of heart rate monitors can be used not only for sports but also in medical fields by alerting heart patients contacts whenever abnormal heart rates are detected. Beat application is a simple, accurate, and low-cost system that uses a smartwatch to detect heart rate and analyze the data on the user's smartphones. Machine learning algorithms were also developed by our team to detect abnormalities in heart rate. This product is suitable for the public especially for the elderly and for patients with heart disease. Therefore, a portable and low-cost health monitor device is achievable without the need for expensive hospital equipment, just by using a smartwatch and this application.

Item Type:	Conference or Workshop Item (Plenary Papers)
Uncontrolled Keywords:	heart monitor Internet of Things mobile health application cardiovascular disease
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Noor Azura Zakaria
Date Deposited:	19 Jan 2023 17:50
Last Modified:	19 Jan 2023 17:51
URI:	http://irep.iium.edu.my/id/eprint/103240

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