An Internet of Things based bed-egress alerting paradigm using wearable sensors in elderly care environment

Article


Awais, M., Raza, M., Ali, K., Ali, Z., Irfan, M., Chughtai, O., Khan, I., Kim, S. and Ur Rehman, M. 2019. An Internet of Things based bed-egress alerting paradigm using wearable sensors in elderly care environment. Sensors. 19 (11), pp. 1-17. https://doi.org/10.3390/s19112498
TypeArticle
TitleAn Internet of Things based bed-egress alerting paradigm using wearable sensors in elderly care environment
AuthorsAwais, M., Raza, M., Ali, K., Ali, Z., Irfan, M., Chughtai, O., Khan, I., Kim, S. and Ur Rehman, M.
Abstract

The lack of healthcare staff and increasing proportions of elderly population is alarming. The traditional means to look after elderly has resulted in 255,000 reported falls (only within UK). This not only resulted in extensive aftercare needs and surgeries (summing up to £4.4 billion) but also in added suffering and increased mortality. In such circumstances, the technology can greatly assist by offering automated solutions for the problem at hand. The proposed work offers an Internet of things (IoT) based patient bed-exit monitoring system in clinical settings, capable of generating a timely response to alert the healthcare workers and elderly by analyzing the wireless data streams, acquired through wearable sensors. This work analyzes two different datasets obtained from divergent families of sensing technologies, i.e., smartphone-based accelerometer and radio frequency identification (RFID) based accelerometer. The findings of the proposed system show good efficacy in monitoring the bed-exit and discriminate other ambulating activities. Furthermore, the proposed work manages to keep the average end-to-end system delay (i.e., communications of sensed data to Data Sink (DS)/Control Center (CC) + machine-based feature extraction and class identification + feedback communications to a relevant healthcare worker/elderly) below 1 10 th of a second.

Keywordselderly population, falls, accelerometer, radio-frequency identification (RFID), patient monitoring, Internet of things (IoT), ambulating activities
LanguageEnglish
PublisherMDPI
JournalSensors
ISSN1424-8220
Publication dates
Print31 May 2019
Publication process dates
Deposited03 Jun 2019
Accepted27 May 2019
Output statusPublished
Publisher's version
License
Copyright Statement

© 2019 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/).

Digital Object Identifier (DOI)https://doi.org/10.3390/s19112498
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