Wan-Tai M Au-Yeung1, Lyndsey Miller2, Zachary Beattie3, Rose May4, Hailey V Cray4, Zachary Kabelac5, Dina Katabi5, Jeffrey Kaye3, Ipsit V Vahia6. 1. Department of Neurology, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR; Oregon Center for Aging & Technology, Oregon Health & Science University (W-TMA-Y, LM, ZB, JK), Portland, OR; NIA-Layton Aging & Alzheimer's Disease Center, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR. Electronic address: auyeungm@ohsu.edu. 2. Oregon Center for Aging & Technology, Oregon Health & Science University (W-TMA-Y, LM, ZB, JK), Portland, OR; School of Nursing, Oregon Health & Science University (LM), Portland, OR. 3. Department of Neurology, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR; Oregon Center for Aging & Technology, Oregon Health & Science University (W-TMA-Y, LM, ZB, JK), Portland, OR; NIA-Layton Aging & Alzheimer's Disease Center, Oregon Health & Science University (W-TMA-Y, ZB, JK), Portland, OR. 4. McLean Hospital (RM, HVC, IVV), Belmont, MA. 5. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (ZK, DK), Cambridge, MA. 6. McLean Hospital (RM, HVC, IVV), Belmont, MA; Harvard Medical School (IVV), Boston, MA.
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.
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.
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