Zeke Steer
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
Tony Pipe Anthony.Pipe@uwe.ac.uk
Professor
Steve Battle Steve.Battle@uwe.ac.uk
Senior Lecturer
Professor of Dementia Research Richard Cheston Richard.Cheston@uwe.ac.uk
Professor in Mental Health (Dementia Care)
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), Article e039705. 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 |
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