Sleep apnea detection in fog based ambient assisted living system
Date Issued
2021
Author(s)
Dimitrievski, Ace
Koceska, Natasha
Cico, Betim
Koceski, Sasho
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.
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.
Subjects
File(s)![Thumbnail Image]()
Loading...
Name
Sleap Apnea Fog Computing.pdf
Size
3.83 MB
Format
Adobe PDF
Checksum
(MD5):dc8f2654f52210b9a9b1040ee09188b5