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Comparison of Bed-Sensors for Nocturnal Behaviour Assessment

Authors:
Bruce Wallace
Frank Knoefel
Rafik Goubran
Jeffrey Kaye
Neil Thomas

Keywords: IoT; cloud processing; bed-sensing; pressure sensing; aging-in-place

Abstract:
Most older adults wish to age in place. Numerous home-based monitoring technologies are being developed to help provide solutions to the human resource challenge created by the aging population. Bed-based monitoring systems can measure something as simple as frequency of bed exits and as complex as sleep quality. This work compares the abilities of three available consumer bed mats from Best Buy, Withings and Emfit to identify bed exit, sleep time and sleep quality. The results show that the Best Buy Canada Assured Living platform provides the most accurate measurement of bed exit/entry with only a single error over 54 nights of testing. The estimates of sleep quality, based on sleep scores derived using commercial algorithms, did not align well between the Withing and Emfit sensors. However, these mats provide more detailed information on estimated time asleep and sleep state compared to the Best Buy sensor. Analysis of the raw data provided by the sensors may provide a more useful method to assess sleep related outcome measures in the research setting and to eventually guide clinical decision making.

Pages: 147 to 153

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-763-4

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020