Subject: Ambient Assisted Living (AAL), Fog computing, Cloud computing, Personal health care
Year: 2021
Type: Proceedings
Title: Sleep apnea detection in fog based ambient assisted living system
Author: Dimitrievski, Ace
Author: Koceska, Natasha
Author: Zdravevski, Eftim
Author: Lameski, Petre
Author: Cico, Betim
Author: Koceski, Sasho
Author: Trajkovik, Vladimir
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.
Publisher:
Relation: RTA-CSIT 2021, Tirana, Albania
Identifier: oai:repository.ukim.mk:20.500.12188/26431
Identifier: http://hdl.handle.net/20.500.12188/26431
