Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/26431
Title: | Sleep apnea detection in fog based ambient assisted living system | Authors: | Dimitrievski, Ace Koceska, Natasha Zdravevski, Eftim Lameski, Petre Cico, Betim Koceski, Sasho Trajkovik, Vladimir |
Keywords: | Ambient Assisted Living (AAL), Fog computing, Cloud computing, Personal health care | Issue Date: | 2021 | Conference: | RTA-CSIT 2021, Tirana, Albania | 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. | URI: | http://hdl.handle.net/20.500.12188/26431 |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Sleap Apnea Fog Computing.pdf | 3.92 MB | Adobe PDF | View/Open |
Page view(s)
49
checked on Oct 12, 2024
Download(s)
5
checked on Oct 12, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.