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Real-Time Location System Data to Discern Clusters of Rest-Activity Rhythm in People With Dementia
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Real-Time Location System Data to Discern Clusters of Rest-Activity Rhythm in People With Dementia
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Real-Time Location System Data to Discern Clusters of Rest-Activity Rhythm in People With Dementia
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Dissertation
Real-Time Location System Data to Discern Clusters of Rest-Activity Rhythm in People With Dementia
2024
Overview
Disruption to circadian rhythm is a hallmark of dementia, which manifests in the disturbed rest-activity rhythms of people with dementia. These disruptions, including reduced daily activity and day-night reversal, contribute to the need for residential care where rhythms can be further disrupted by environmental factors and medication. Subjective clinical assessments related to rest-activity rhythms are prone to errors, highlighting the need for objective measures. Real-Time Location Systems (RTLS) technology offers a distinct advantage over wrist actigraphy by incorporating spatiotemporal information into rest-activity measurement. This thesis validates the use of Real-Time Location Systems data for rest-activity measurement and identifies six distinct rest-activity profiles from a sample of people with dementia with distinct clinical associations. The findings suggests that RTLS can enhance personalized care in long-term care settings, with future steps focused on the validation of identified profiles for better intervention and medication management.
