Past Webinar – Aligning Technology with Dementia Caregiver Needs, Joseph E. Gaugler

https://www.youtube.com/watch?v=tVFTmTnYb4M Abstract: Various technologies are now available that purport to support families, friends, and other unpaid individuals who care for older adults living with dementia. Although such technologies may hold promise, it remains less clear whether these technologies are truly effective or aligned with the heterogeneity of dementia care, particularly dementia care that takes place in the community. This presentation will summarize recent findings and identify opportunities to utilize technology to advance the science and support of dementia care.upport them as they engage in this vital role. Biography: Joseph E. Gaugler, PhD, Robert L. Kane Endowed Chair in Long-Term Care & Aging in School of Public Health, Distinguished McKnight University Professor at University of Minnesota Joe Gaugler is the Robert L. Kane Endowed Chair in Long-Term Care & Aging in the School of Public Health…

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An academic-industrial partnership for AI-based sleep staging in the elderly using an EEG headband and a smartwatch

Joyita Dutta, UMass Amherst. This project will develop AI techniques for at-home sleep staging in seniors using multimodal data from EEG headband and smartwatch devices.

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Passive monitoring of walking cadence as a novel tool for aging and cognitive health assessment

Honghuang Lin, UMass Chan Medical School. This pilot project explored the use of wearable accelerometers to passively monitor walking cadence as a potential early indicator of cognitive decline in older adults.

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AI-Supported In-Home Brain Assessments for Older Adults and Persons with Alzheimer’s Disease

Quan Zhang, Massachusetts General Hospital. This project will create an adapted version of NINscan, a Near-Infrared Neuromonitoring Device, with the goal of enabling older adults and AD patients to collect high quality brain and physiological data at home.

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Creation of a technology-ready cohort for patients with Alzheimer’s disease and related dementias and their caregivers

Mark Eldaief, Massachusetts General Hospital. This project will establish a “technology-ready cohort” of individuals with Alzheimer’s Disease and related dementias to support the evaluation of digital assessments relevant to ADRD patients and their caregivers.

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Portable Sleep Monitoring in Older Adults with AD/ADRD and Common Chronic Conditions

Rebecca Spencer, UMass Amherst. The pilot project aimed to validate the accuracy and usability of commercial sleep tracking devices in older adults, including those with Alzheimer’s disease (AD), related dementias (ADRD), or mild cognitive impairment (MCI).

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Detection of falls and other health events using sound, activity monitoring and machine learning

Richard Watkins, Livindi. The Livindi pilot project aimed to develop and test a technology platform that detects distress-related events—especially falls—using audio recognition, motion sensors, and machine learning. Participants received pre-configured kits with tablets and sensors, and the system was designed to operate entirely on-device to ensure privacy.

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