System Architecture of a Proactive Intelligent System to Monitor Health of Older Adults Living Alone

Al-Mejibli, I., Al-Majeed, S., Karam, J. , Adolfo, C., Iqbal, C. and Yalung, C. (2021) System Architecture of a Proactive Intelligent System to Monitor Health of Older Adults Living Alone. International Journal of Computing and Digital Systems, 10 (1). pp. 509-517. ISSN 2210-142X

Full content URL: https://doi.org/10.12785/ijcds%2F100149

Documents
System Architecture of a Proactive Intelligent System to Monitor Health of Older Adults Living Alone
Published Open Access manuscript
[img]
[Download]
[img]
Preview
PDF
paper4.pdf - Whole Document
Available under License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International.

610kB
Item Type:Article
Item Status:Live Archive

Abstract

Worldwide improvements in the quality of life highlight immense need to have a remote health monitoring system that can provide critical biomedical data. This paper presents a low-cost health monitoring system, forming part of the Internet of Things (IoT), which aims at continuous, 24/7 monitoring of elderly people and disabled people. The system is implemented with a variety of sensors, for example, temperature, heart rate, and movement measurements, to observe a person’s status. Doctors may also prescribe this system with a specific number and type of sensor, depending on a patient’s condition. In a case study, three sensors measured the status of a person during the day. The measurements reflected the actions of the person as he/she relaxed or was active, in addition to monitoring his/her state of health. The observed data were recorded in a database that can be displayed by authorized caregivers. Results witnessed the efficacy of the proposed system. The proposed system finds enormous potential in giving remote healthcare facilities, especially to unaccompanied older adults.

Keywords:internet of things, IOT, biomedical data, Elderly Support
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:46652
Deposited On:24 Sep 2021 13:30

Repository Staff Only: item control page