A cloud-based pervasive application for monitoring oxygen saturation and heart rate using fuzzy-as-a-service

Pandya, B., Pourabdollah, A. ORCID: 0000-0001-7737-1393 and Lotfi, A. ORCID: 0000-0002-5139-6565, 2021. A cloud-based pervasive application for monitoring oxygen saturation and heart rate using fuzzy-as-a-service. In: The 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments PETRA 2021. Conference proceedings. New York: Association for Computing Machinery (ACM), pp. 69-75. ISBN 9781450387927

[img]
Preview
Text
1448671_Pourabdollah.pdf - Post-print

Download (5MB) | Preview

Abstract

Due to the rapid development of information technology, health monitoring research demands are growing tremendously. People prefer to use wearable devices that consist of sensors, which help in monitoring the health of individuals. This study aims to develop a system that remotely monitors the physiological aspects of individuals, such as blood oxygen saturation and pulse measurement, using wearable sensors and a new cloud-based fuzzy logic system, and generates necessary alarms. Monitoring health remotely based on wearable and non-invasive sensors provides a cost-effective solution, which in turn permits the elderly people to continue to live in his/her home environment as opposed to spending on expensive healthcare facilities. The developed system shall permit smooth physiological monitoring of an individual’s health by healthcare personnel in real-time. The developed system will not only assess health conditions but also provide feedback from distant facilities. Moreover, the developed rule-based fuzzy system can infer an individual’s health condition. The study uses pulse rate and oxygen saturation data, which are processed by a fuzzy system on the cloud, and the acquired results are displayed on a mobile application.

Item Type: Chapter in book
Description: Paper presented at PETRA 2021: The 14th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece [virtual], 29 June - 2 July 2021.
Creators: Pandya, B., Pourabdollah, A. and Lotfi, A.
Publisher: Association for Computing Machinery (ACM)
Place of Publication: New York
Date: 29 June 2021
ISBN: 9781450387927
Identifiers:
NumberType
10.1145/3453892.3453998DOI
1448671Other
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 02 Jul 2021 08:10
Last Modified: 02 Jul 2021 09:25
Related URLs:
URI: http://irep.ntu.ac.uk/id/eprint/43292

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year