Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention

Accelerometer-based motion sensing has been extensively applied to fall detection. However, such applications can only detect fall accidents; therefore, a system that can prevent fall accidents is desirable. Bed falls account for more than half of patient falls and are preceded by a clear warning in...

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Autores principales:	Wen-Yen Lin, Chien-Hung Chen, Ming-Yih Lee
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	accelerometer wearable sensor bed-fall prevention motion and tilt sensing health-care Internet-of-Things Biotechnology TP248.13-248.65
Acceso en línea:	https://doaj.org/article/6cee5c2a7ab14a599e9e2a56741507fc
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spelling	oai:doaj.org-article:6cee5c2a7ab14a599e9e2a56741507fc2021-11-25T16:55:08ZDesign and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention10.3390/bios111104282079-6374https://doaj.org/article/6cee5c2a7ab14a599e9e2a56741507fc2021-10-01T00:00:00Zhttps://www.mdpi.com/2079-6374/11/11/428https://doaj.org/toc/2079-6374Accelerometer-based motion sensing has been extensively applied to fall detection. However, such applications can only detect fall accidents; therefore, a system that can prevent fall accidents is desirable. Bed falls account for more than half of patient falls and are preceded by a clear warning indicator: the patient attempting to get out of bed. This study designed and implemented an Internet of Things module, namely, Bluetooth low-energy-enabled Accelerometer-based Sensing In a Chip-packaging (BASIC) module, with a tilt-sensing algorithm based on the patented low-complexity COordinate Rotation DIgital Computer (CORDIC)-based algorithm for tilt angle conversions. It is applied for detecting the postural changes (from lying down to sitting up) and to protect individuals at a high risk of bed falls by prompting caregivers to take preventive actions and assist individuals trying to get up. This module demonstrates how motion and tilt sensing can be applied to bed fall prevention. The module can be further miniaturized or integrated into a wearable device and commercialized in smart health-care applications for bed fall prevention in hospitals and homes.Wen-Yen LinChien-Hung ChenMing-Yih LeeMDPI AGarticleaccelerometerwearable sensorbed-fall preventionmotion and tilt sensinghealth-careInternet-of-ThingsBiotechnologyTP248.13-248.65ENBiosensors, Vol 11, Iss 428, p 428 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	accelerometer wearable sensor bed-fall prevention motion and tilt sensing health-care Internet-of-Things Biotechnology TP248.13-248.65
spellingShingle	accelerometer wearable sensor bed-fall prevention motion and tilt sensing health-care Internet-of-Things Biotechnology TP248.13-248.65 Wen-Yen Lin Chien-Hung Chen Ming-Yih Lee Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention
description	Accelerometer-based motion sensing has been extensively applied to fall detection. However, such applications can only detect fall accidents; therefore, a system that can prevent fall accidents is desirable. Bed falls account for more than half of patient falls and are preceded by a clear warning indicator: the patient attempting to get out of bed. This study designed and implemented an Internet of Things module, namely, Bluetooth low-energy-enabled Accelerometer-based Sensing In a Chip-packaging (BASIC) module, with a tilt-sensing algorithm based on the patented low-complexity COordinate Rotation DIgital Computer (CORDIC)-based algorithm for tilt angle conversions. It is applied for detecting the postural changes (from lying down to sitting up) and to protect individuals at a high risk of bed falls by prompting caregivers to take preventive actions and assist individuals trying to get up. This module demonstrates how motion and tilt sensing can be applied to bed fall prevention. The module can be further miniaturized or integrated into a wearable device and commercialized in smart health-care applications for bed fall prevention in hospitals and homes.
format	article
author	Wen-Yen Lin Chien-Hung Chen Ming-Yih Lee
author_facet	Wen-Yen Lin Chien-Hung Chen Ming-Yih Lee
author_sort	Wen-Yen Lin
title	Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention
title_short	Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention
title_full	Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention
title_fullStr	Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention
title_full_unstemmed	Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention
title_sort	design and implementation of a wearable accelerometer-based motion/tilt sensing internet of things module and its application to bed fall prevention
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/6cee5c2a7ab14a599e9e2a56741507fc
work_keys_str_mv	AT wenyenlin designandimplementationofawearableaccelerometerbasedmotiontiltsensinginternetofthingsmoduleanditsapplicationtobedfallprevention AT chienhungchen designandimplementationofawearableaccelerometerbasedmotiontiltsensinginternetofthingsmoduleanditsapplicationtobedfallprevention AT mingyihlee designandimplementationofawearableaccelerometerbasedmotiontiltsensinginternetofthingsmoduleanditsapplicationtobedfallprevention
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Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention

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