In this section
@article{Fletcher-Lloyd:2023:10.1109/jiot.2023.3291652,
author = {Fletcher-Lloyd, N and Serban, A-I and Kolanko, M and Wingfield, D and Wilson, D and Nilforooshan, R and Barnaghi, P and Soreq, E},
doi = {10.1109/jiot.2023.3291652},
journal = {IEEE Internet of Things Journal},
title = {A Markov chain model for identifying changes in daily activity patterns of people living with dementia},
url = {http://dx.doi.org/10.1109/jiot.2023.3291652},
year = {2023}
}
TY - JOUR
AB - Malnutrition and dehydration are strongly associated with increased cognitive and functional decline in people living with dementia (PLWD), as well as an increased rate of hospitalisations in comparison to their healthy counterparts. Extreme changes in eating and drinking behaviours can often lead to malnutrition and dehydration, accelerating the progression of cognitive and functional decline and resulting in a marked reduction in quality of life. Unfortunately, there are currently no established methods by which to objectively detect such changes. Here, we present the findings of an extensive quantitative analysis conducted on in-home monitoring data collected from 73 households of PLWD using Internet of Things technologies. The Coronavirus 2019 (COVID-19) pandemic has previously been shown to have dramatically altered the behavioural habits, particularly the eating and drinking habits, of PLWD. Using the COVID-19 pandemic as a natural experiment, we conducted linear mixed-effects modelling to examine changes in mean kitchen activity within a subset of 21 households of PLWD that were continuously monitored for 499 days. We report an observable increase in day-time kitchen activity and a significant decrease in night-time kitchen activity (t(147) = -2.90, p < 0.001). We further propose a novel analytical approach to detecting changes in behaviours of PLWD using Markov modelling applied to remote monitoring data as a proxy for behaviours that cannot be directly measured. Together, these results pave the way to introduce improvements into the monitoring of PLWD in naturalistic settings and for shifting from reactive to proactive care.
AU - Fletcher-Lloyd,N
AU - Serban,A-I
AU - Kolanko,M
AU - Wingfield,D
AU - Wilson,D
AU - Nilforooshan,R
AU - Barnaghi,P
AU - Soreq,E
DO - 10.1109/jiot.2023.3291652
PY - 2023///
SN - 2327-4662
TI - A Markov chain model for identifying changes in daily activity patterns of people living with dementia
T2 - IEEE Internet of Things Journal
UR - http://dx.doi.org/10.1109/jiot.2023.3291652
ER -
Established in 2017 by its principal funder the Medical Research Council, in partnership with Alzheimer's Society and Alzheimer’s Research UK, The UK Dementia Research Institute (UK DRI) is the UK’s leading biomedical research institute dedicated to neurodegenerative diseases.
