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Technology integrated health management for dementia

Rostill, Helen, Nilforooshan, Ramin, Morgan, Amanda, Barnaghi, Payam, Ream, Emma and Chrysanthaki, Theti (2018) Technology integrated health management for dementia British Journal of Community Nursing, 23 (10). pp. 502-508.

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Abstract

Pioneering advances have been made in Internet of Things technologies (IoT) in healthcare. This article describes the development and testing of a bespoke IoT system for dementia care. TIHM for dementia is part of the NHS England National Test Bed Programme and has been trailing the deployment of network enabled devices combined with artificial intelligence to improve outcomes for people with dementia and their carers. TIHM uses machine learning and complex algorithms to detect and predict early signs of ill health. The premise is if changes in a person’s health or routine can be identified early on, support can be targeted at the point of need to prevent the development of more serious complications.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Rostill, Helen
Nilforooshan, Raminr.nilforooshan@surrey.ac.uk
Morgan, Amanda
Barnaghi, PayamP.Barnaghi@surrey.ac.uk
Ream, Emmae.ream@surrey.ac.uk
Chrysanthaki, Theti
Date : 5 October 2018
DOI : 10.12968/bjcn.2018.23.10.502
Copyright Disclaimer : This document is the Accepted Manuscript version of a Published Work that appeared in final form in British Journal of Community Nursing, copyright © MA Healthcare, after peer review and technical editing by the publisher. To access the final edited and published work see https://www.magonlinelibrary.com/doi/10.12968/bjcn.2018.23.10.502
Uncontrolled Keywords : Dementia, assistive technologies, machine learning, anticipatory care, internet of things
Depositing User : Melanie Hughes
Date Deposited : 02 Nov 2018 11:22
Last Modified : 06 Apr 2019 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/849817

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