Monitoring night‐time safety in households with dementia using ambient sensing technologies: a rule‐based decision algorithm
This study demonstrates the algorithm's effectiveness in timely, accurate night-time safety monitoring. Implementing it has the potential to enhance safety and reduce caregiver burden for PLwD in clinical and home care settings.
Authors
- Rafael A. Calvo (ORCID: https://orcid.org/0000-0003-2238-0684)
- Ramin Nilforooshan (ORCID: https://orcid.org/0000-0001-9801-183X)
- Alina‐Irina Serban (ORCID: https://orcid.org/0000-0001-9468-8237)
- Mark Woodbridge
- David Sharp (ORCID: https://orcid.org/0000-0003-4995-2240)
- Eyal Soreq (ORCID: https://orcid.org/0000-0003-4809-4889)
- Sophie Horrocks (ORCID: https://orcid.org/0000-0002-9139-2016)
- Chloe Walsh (ORCID: https://orcid.org/0009-0009-0516-9634)
- Amer Marzuki
- CR&T Team
- Matthew Harrison
Institutions
- Soroka Medical Center (IL)
- Dyson (United Kingdom) (GB)
- UK Dementia Research Institute (GB)
- Imperial College London (GB)
- Surrey and Borders Partnership NHS Foundation Trust (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70858_106490
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00