Collage of published research papers

Citation

BibTex format

@article{Parkinson:2023:10.1136/bmjopen-2022-068756,
author = {Parkinson, M and Dani, M and Fertleman, M and Soreq, E and Barnaghi, P and Sharp, D and Li, LM},
doi = {10.1136/bmjopen-2022-068756},
journal = {BMJ Open},
title = {Using home monitoring technology to study the effects of traumatic brain Injury in older multimorbid adults: protocol for a feasibility study},
url = {http://dx.doi.org/10.1136/bmjopen-2022-068756},
volume = {13},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Introduction:The prevalence of Traumatic Brain Injury (TBI) among older adults is increasing exponentially. The sequelae can be severe in older adults and interacts with age-related conditions such a multimorbidity. Despite this, TBI research in older adults, is sparse. Minder, an in-home monitoring system using developed by the UK DRI Centre for Care Research and Technology, uses infra-red sensors and a bed mat to passively collect sleep and activity data. Similar systems have been used to monitor the health of older adults living with dementia. We will assess the feasibility of using this system to study changes in the health status of older adults in the early period post TBI.Methods and analysis:The study will recruit 15 inpatients (>60 years) with a moderate-severe TBI, who will have their daily activity and sleep patterns monitored using passive and wearable sensors over 6 months. Participants will report on their health during weekly calls, which will be used to validate sensor data. Physical, functional, and cognitive assessments will be conducted across the duration of the study. Activity levels and sleep patterns derived from sensor data will be calculated and visualised using activity maps. Within participant analysis will be performed to determine if participants are deviating from their own routines. We will apply machine learning approaches to activity and sleep data to assess whether these changes in these data can predict clinical events. Qualitative analysis of interviews conducted with participants, carers, and clinical staff will assess acceptability and utility of the system.Ethics and dissemination:Ethical approval for this study has been granted by the London - Camberwell St Giles Research Ethics Committee (REC number: 17/LO/2066). Results will be submitted for publication in peer review journals, presented at conferences and inform the design of a larger trial assessing recovery after TBI.
AU - Parkinson,M
AU - Dani,M
AU - Fertleman,M
AU - Soreq,E
AU - Barnaghi,P
AU - Sharp,D
AU - Li,LM
DO - 10.1136/bmjopen-2022-068756
PY - 2023///
SN - 2044-6055
TI - Using home monitoring technology to study the effects of traumatic brain Injury in older multimorbid adults: protocol for a feasibility study
T2 - BMJ Open
UR - http://dx.doi.org/10.1136/bmjopen-2022-068756
UR - http://hdl.handle.net/10044/1/104369
VL - 13
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.