Evaluating Wearable Devices for Monitoring Sleep in Dementia
Author Information
Author(s): Griffiths Leroy, McCreedy Ellen, Reddy Ann
Primary Institution: Brown University
Hypothesis
Can wearable biometric devices effectively measure sleep in individuals with Alzheimer's disease and related dementias compared to traditional methods?
Conclusion
Wearable devices may overestimate sleep time and disturbances in people with dementia, indicating a need for further research.
Supporting Evidence
- The review identified 140 articles, with only 3 meeting the inclusion criteria.
- Actigraphy consistently overestimated total sleep time compared to sleep diaries.
- None of the studies utilized polysomnography, indicating a gap in research.
Takeaway
This study looked at how well wearable devices can track sleep for people with dementia, and found they might not be very accurate.
Methodology
A scoping review of articles evaluating wearable devices against gold standard measures like polysomnography.
Potential Biases
Potential racial bias in wearable technology effectiveness due to lack of diverse sample characteristics.
Limitations
The included studies did not use polysomnography and lacked demographic data on race.
Digital Object Identifier (DOI)
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