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Investigating the feasibility of using wearable technologies and machine learning techniques to recognise distress and agitation in people living with dementia

Steer, Zeke; Pipe, Anthony; Battle, Steve; Cheston, Richard

Authors

Zeke Steer



Citation

Steer, Z., Pipe, A., Battle, S., & Cheston, R. (2020). Investigating the feasibility of using wearable technologies and machine learning techniques to recognise distress and agitation in people living with dementia. Alzheimer's and Dementia, 16(S7), https://doi.org/10.1002/alz.039705

Journal Article Type Article
Acceptance Date Dec 1, 2020
Online Publication Date Dec 7, 2020
Publication Date 2020-12
Deposit Date May 14, 2021
Journal Alzheimer's & Dementia
Print ISSN 1552-5260
Electronic ISSN 1552-5279
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 16
Issue S7
Article Number e039705
DOI https://doi.org/10.1002/alz.039705
Keywords Health Policy; Developmental Neuroscience; Epidemiology; Cellular and Molecular Neuroscience; Geriatrics and Gerontology; Psychiatry and Mental health; Clinical Neurology
Public URL https://uwe-repository.worktribe.com/output/7356130