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Citation

BibTex format

@article{Parkinson:2023:10.1002/acn3.51849,
author = {Parkinson, M and Doherty, R and Curtis, F and Soreq, E and Lai, HHL and Serban, A-I and Dani, M and Fertleman, M and Barnaghi, PJ and Sharp, DM and Li, L},
doi = {10.1002/acn3.51849},
journal = {Annals of Clinical and Translational Neurology},
pages = {1688--1694},
title = {Using home monitoring technology to study the effects of traumatic brain injury in older multimorbid adults},
url = {http://dx.doi.org/10.1002/acn3.51849},
volume = {10},
year = {2023}
}

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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Internet of things (IOT) based in-home monitoring systems can passively collect high temporal resolution data in the community, offering valuable insight into the impact of health conditions on patients' day-to-day lives. We used this technology to monitor activity and sleep patterns in older adults recently discharged after traumatic brain injury (TBI). The demographics of TBI are changing, and it is now a leading cause of hospitalisation in older adults. However, research in this population is minimal. We present three cases, showcasing the potential of in-home monitoring systems in understanding and managing early recovery in older adults following TBI.
AU  - Parkinson,M
AU  - Doherty,R
AU  - Curtis,F
AU  - Soreq,E
AU  - Lai,HHL
AU  - Serban,A-I
AU  - Dani,M
AU  - Fertleman,M
AU  - Barnaghi,PJ
AU  - Sharp,DM
AU  - Li,L
DO  - 10.1002/acn3.51849
EP  - 1694
PY  - 2023///
SN  - 2328-9503
SP  - 1688
TI  - Using home monitoring technology to study the effects of traumatic brain injury in older multimorbid adults
T2  - Annals of Clinical and Translational Neurology
UR  - http://dx.doi.org/10.1002/acn3.51849
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001041946300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://onlinelibrary.wiley.com/doi/10.1002/acn3.51849
UR  - http://hdl.handle.net/10044/1/108584
VL  - 10
ER  -

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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)

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.

Funding provided by the

Medical Research Council

Funding provided by the

Alzheimer's Society

Funding provided by

Alzheimer's Research UK