Collage of published research papers

Citation

BibTex format

@article{Kolanko:2022:10.1002/alz.068241,
author = {Kolanko, MA and Soreq, E and Lai, H and Barnaghi, P and Dijk, D-J and Sharp, DJ},
doi = {10.1002/alz.068241},
journal = {Alzheimers Dement},
title = {Clinically relevant monitoring of long-term night-time behaviour and physiology from the homes of people living with dementia.},
url = {http://dx.doi.org/10.1002/alz.068241},
volume = {18 Suppl 2},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - BACKGROUND: Disturbances of sleep and night-time behaviours are amongst the most disabling symptoms of dementia. They often increase carers' burden and the risk of institutionalization. The causes are complex and are difficult to investigate because of a lack of acceptable methods for monitoring behaviours in the home. Here we show that a passive under-mattress can be used to track changes in night-time behaviour and physiology, and that a range of digital biomarkers produced are informative in understanding the effects of medication changes, disease progression and intercurrent illness in patients living with dementia (PLWD). METHOD: We used contactless Withings Sleep Mattress (WSM) to monitor bed-occupancy in 4 PLWD (age 74-93, 3males) enrolled into the CR&T MINDER cohort study. Each participant was tracked over 1000 nights between 2019 and 2021. Minute-to-minute timeseries were extracted from WSM to calculate bed occupancy metrics and nocturnal physiology measures (heart and breathing rates (HR/BR)). Raw measures were standardized within subjects by comparing each time point to the mean of the time points that preceded it. We then investigated the relationship between these metrics and clinical events such as infections and medication. RESULT: The 4 case studies illustrate the potential of this technology for passive health monitoring in PLWD. High levels of intraindividual variability in behavioural and physiological metrics were observed. Progressive changes in bed occupancy were observed in two patients with frontotemporal dementia and Alzheimer's disease (Cases 1&2). Intercurrent illness and medications changes influenced the measures. For example, Patient 1 showed progressive night-time wandering with increasing time spent out of bed, which improved following the initiation of risperidone. Case 2 showed recurrent episodes of heart failure accompanied by increased nocturnal HR. Cases 3 and 4 showed urinary tract infections, which were accompanied by t
AU - Kolanko,MA
AU - Soreq,E
AU - Lai,H
AU - Barnaghi,P
AU - Dijk,D-J
AU - Sharp,DJ
DO - 10.1002/alz.068241
PY - 2022///
TI - Clinically relevant monitoring of long-term night-time behaviour and physiology from the homes of people living with dementia.
T2 - Alzheimers Dement
UR - http://dx.doi.org/10.1002/alz.068241
UR - https://www.ncbi.nlm.nih.gov/pubmed/36537499
VL - 18 Suppl 2
ER -

Awards

  • Finalist: Best Paper - IEEE Transactions on Mechatronics (awarded June 2021)

  • Finalist: IEEE Transactions on Mechatronics; 1 of 5 finalists for Best Paper in Journal

  • Winner: UK Institute of Mechanical Engineers (IMECHE) Healthcare Technologies Early Career Award (awarded June 2021): Awarded to Maria Lima (UKDRI CR&T PhD candidate)

  • Winner: Sony Start-up Acceleration Program (awarded May 2021): Spinout company Serg Tech awarded (1 of 4 companies in all of Europe) a place in Sony corporation start-up boot camp

  • “An Extended Complementary Filter for Full-Body MARG Orientation Estimation” (CR&T authors: S Wilson, R Vaidyanathan)

UK DRI


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.