Cargando…

Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People

Aging populations are increasing worldwide and strategies to minimize the impact of falls on older people need to be examined. Falls in hospitals are common and current hospital technological implementations use localized sensors on beds and chairs to alert caregivers of unsupervised patient ambulat...

Descripción completa

Detalles Bibliográficos
Autores principales: Shinmoto Torres, Roberto Luis, Visvanathan, Renuka, Hoskins, Stephen, van den Hengel, Anton, Ranasinghe, Damith C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851060/
https://www.ncbi.nlm.nih.gov/pubmed/27092506
http://dx.doi.org/10.3390/s16040546
_version_ 1782429767291633664
author Shinmoto Torres, Roberto Luis
Visvanathan, Renuka
Hoskins, Stephen
van den Hengel, Anton
Ranasinghe, Damith C.
author_facet Shinmoto Torres, Roberto Luis
Visvanathan, Renuka
Hoskins, Stephen
van den Hengel, Anton
Ranasinghe, Damith C.
author_sort Shinmoto Torres, Roberto Luis
collection PubMed
description Aging populations are increasing worldwide and strategies to minimize the impact of falls on older people need to be examined. Falls in hospitals are common and current hospital technological implementations use localized sensors on beds and chairs to alert caregivers of unsupervised patient ambulations; however, such systems have high false alarm rates. We investigate the recognition of bed and chair exits in real-time using a wireless wearable sensor worn by healthy older volunteers. Fourteen healthy older participants joined in supervised trials. They wore a batteryless, lightweight and wireless sensor over their attire and performed a set of broadly scripted activities. We developed a movement monitoring approach for the recognition of bed and chair exits based on a machine learning activity predictor. We investigated the effectiveness of our approach in generating bed and chair exit alerts in two possible clinical deployments (Room 1 and Room 2). The system obtained recall results above 93% (Room 2) and 94% (Room 1) for bed and chair exits, respectively. Precision was >78% and 67%, respectively, while F-score was >84% and 77% for bed and chair exits, respectively. This system has potential for real-time monitoring but further research in the final target population of older people is necessary.
format Online
Article
Text
id pubmed-4851060
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-48510602016-05-04 Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People Shinmoto Torres, Roberto Luis Visvanathan, Renuka Hoskins, Stephen van den Hengel, Anton Ranasinghe, Damith C. Sensors (Basel) Article Aging populations are increasing worldwide and strategies to minimize the impact of falls on older people need to be examined. Falls in hospitals are common and current hospital technological implementations use localized sensors on beds and chairs to alert caregivers of unsupervised patient ambulations; however, such systems have high false alarm rates. We investigate the recognition of bed and chair exits in real-time using a wireless wearable sensor worn by healthy older volunteers. Fourteen healthy older participants joined in supervised trials. They wore a batteryless, lightweight and wireless sensor over their attire and performed a set of broadly scripted activities. We developed a movement monitoring approach for the recognition of bed and chair exits based on a machine learning activity predictor. We investigated the effectiveness of our approach in generating bed and chair exit alerts in two possible clinical deployments (Room 1 and Room 2). The system obtained recall results above 93% (Room 2) and 94% (Room 1) for bed and chair exits, respectively. Precision was >78% and 67%, respectively, while F-score was >84% and 77% for bed and chair exits, respectively. This system has potential for real-time monitoring but further research in the final target population of older people is necessary. MDPI 2016-04-15 /pmc/articles/PMC4851060/ /pubmed/27092506 http://dx.doi.org/10.3390/s16040546 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shinmoto Torres, Roberto Luis
Visvanathan, Renuka
Hoskins, Stephen
van den Hengel, Anton
Ranasinghe, Damith C.
Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People
title Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People
title_full Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People
title_fullStr Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People
title_full_unstemmed Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People
title_short Effectiveness of a Batteryless and Wireless Wearable Sensor System for Identifying Bed and Chair Exits in Healthy Older People
title_sort effectiveness of a batteryless and wireless wearable sensor system for identifying bed and chair exits in healthy older people
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851060/
https://www.ncbi.nlm.nih.gov/pubmed/27092506
http://dx.doi.org/10.3390/s16040546
work_keys_str_mv AT shinmototorresrobertoluis effectivenessofabatterylessandwirelesswearablesensorsystemforidentifyingbedandchairexitsinhealthyolderpeople
AT visvanathanrenuka effectivenessofabatterylessandwirelesswearablesensorsystemforidentifyingbedandchairexitsinhealthyolderpeople
AT hoskinsstephen effectivenessofabatterylessandwirelesswearablesensorsystemforidentifyingbedandchairexitsinhealthyolderpeople
AT vandenhengelanton effectivenessofabatterylessandwirelesswearablesensorsystemforidentifyingbedandchairexitsinhealthyolderpeople
AT ranasinghedamithc effectivenessofabatterylessandwirelesswearablesensorsystemforidentifyingbedandchairexitsinhealthyolderpeople