Sleep Apnea Detection in Fog Based Ambient Assisted Living System

Dimitrievski, Ace and Koceska, Natasa and Zdravevski, Eftim and Lameski, Petre and Cico, Betim and Koceski, Saso and Trajkovik, Vladimir (2021) Sleep Apnea Detection in Fog Based Ambient Assisted Living System. In: Recent Trends and Applications in Computer Science and Information Technology, May, 21-22, Tirana, Albania.

Text Sleap Apnea Fog Computing.pdf Download (4MB)

Abstract

Ambient Assisted Living environments use different sensors and actuators to enable their endusers
to live in their preferred environments. Unlike smart homes, where a target audience is
usually a family unit, standard Ambient Assisted Living end users are care receivers and care
providers. This article describes an approach based on the fog computing paradigm to detect sleep apnea in an Ambient Assisted Living context unobtrusively. The edge nodes process and detect local activities of daily living events and have direct control of the local environment. The fog nodes are used to further process and transmit data. The cloud is used for more complex and anonymous data computation. This research shows that sensors, which are unobtrusive and do not interfere with users' daily routines, can be successfully used for pattern observation.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Natural sciences > Computer and information sciences
Divisions:	Faculty of Computer Science
Depositing User:	Natasa Koceska
Date Deposited:	04 Feb 2022 08:20
Last Modified:	04 Feb 2022 08:20
URI:	https://eprints.ugd.edu.mk/id/eprint/29207

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