Assessment of sleep patterns in dementia and general population cohorts using passive in-home monitoring technologies
In line with current clinical knowledge, these results suggest detectable dementia sleep phenotypes, highlighting the potential for using passive digital technologies in PLWD, and for detecting architectural sleep changes more generally. This study indicates the feasibility of leveraging passive in-home technologies for disease monitoring.
Authors
- Ramin Nilforooshan (ORCID: https://orcid.org/0000-0001-9801-183X)
- Alexander Capstick (ORCID: https://orcid.org/0000-0002-3884-8045)
- Payam Barnaghi (ORCID: https://orcid.org/0000-0001-8591-9638)
- Nan Fletcher‐Lloyd (ORCID: https://orcid.org/0000-0003-2002-5945)
- Louise Rigny
Institutions
- Great Ormond Street Hospital (GB)
- University of Surrey (GB)
- UK Dementia Research Institute (GB)
- University College London (GB)
- Imperial College London (GB)
- Surrey and Borders Partnership NHS Foundation Trust (GB)
Publication Details
- Journal
- Communications Medicine
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1038/s43856-024-00646-0
- Citations
- 6
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 3.05
Funders
- UK Research and Innovation
- National Institute for Health and Care Research
- Royal Academy of Engineering
- Imperial College London
- UK Dementia Research Institute
- Medical Research Council
- Engineering and Physical Sciences Research Council
- NIHR Imperial Biomedical Research Centre