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Monitoring Behaviors of Patients with Late-stage Dementia Using Passive Environmental Sensing Approaches: A Case Series

Author(s)
Au-Yeung, Wan-Tai M; Miller, Lyndsey; Beattie, Zachary; May, Rose; Cray, Hailey V; Kabelac, Zachary; Katabi, Dina; Kaye, Jeffrey; Vahia, Ipsit V; ... Show more Show less
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Abstract
OBJECTIVE: To show the feasibility of using different unobtrusive activity-sensing technologies to provide objective behavioral markers of persons with dementia (PwD). DESIGN: Monitored the behaviors of two PwD living in memory care unit using the Oregon Center for Aging & Technology (ORCATECH) platform, and the behaviors of two PwD living in assisted living facility using the Emerald device. SETTING: A memory care unit in Portland, Oregon and an assisted living facility in Framingham, Massachusetts. PARTICIPANTS: A 63-year-old male with Alzheimer's disease (AD), and an 80-year-old female with frontotemporal dementia, both lived in a memory care unit in Portland, Oregon. An 89-year-old woman with a diagnosis of AD, and an 85-year-old woman with a diagnosis of major neurocognitive disorder, Alzheimer's type with behavioral symptoms, both resided at an assisted living facility in Framingham, Massachusetts. MEASUREMENTS: These include: sleep quality measured by the bed pressure mat; number of transitions between spaces and dwell times in different spaces measured by the motion sensors; activity levels measured by the wearable actigraphy device; and couch usage and limb movements measured by the Emerald device. RESULTS: Number of transitions between spaces can identify the patient's episodes of agitation; activity levels correlate well with the patient's excessive level of agitation and lack of movement when the patient received potentially inappropriate medication and neared the end of life; couch usage can detect the patient's increased level of apathy; and periodic limb movements can help detect risperidone-induced side effects. This is the first demonstration that the ORCATECH platform and the Emerald device can measure such activities. CONCLUSION: The use of technologies for monitoring behaviors of PwD can provide more objective and intensive measurements of PwD behaviors.
Date issued
2022
URI
https://hdl.handle.net/1721.1/147048
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Journal
American Journal of Geriatric Psychiatry
Publisher
Elsevier BV
Citation
Au-Yeung, Wan-Tai M, Miller, Lyndsey, Beattie, Zachary, May, Rose, Cray, Hailey V et al. 2022. "Monitoring Behaviors of Patients with Late-stage Dementia Using Passive Environmental Sensing Approaches: A Case Series." American Journal of Geriatric Psychiatry, 30 (1).
Version: Author's final manuscript

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