Ambulatory Assessment of Lifestyle Factors for Alzheimer’s Disease and Related Dementias

Tung, James Yungjen (University of Waterloo) | Semple, Jonathan FL (University of Waterloo) | Woo, Wei X (University of Waterloo) | Hsu, Wei-Shou (University of Waterloo) | Sinn, Mathieu (University of Waterloo) | Roy, Eric A (University of Waterloo) | Poupart, Pascal (University of Waterloo)

AAAI Conferences 

Considering few treatments are available to slow or stop neurodegenerative disorders, such as Alzheimer’s disease and related dementias (ADRD), modifying lifestyle factors to prevent disease onset are recommended. The Voice, Activity, and Location Monitoring system for Alzheimer’s disease (VALMA) is a novel ambulatory sensor system designed to capture natural behaviours across multiple domains to profile lifestyle risk factors related to ADRD. Objective measures of physical activity and sleep are provided by lower limb accelerometry. Audio and GPS location records provide verbal and mobility activity, respectively. Based on a familiar smartphone package, data collection with the system has proven to be feasible in community-dwelling older adults. Objective assessments of everyday activity will impact diagnosis of disease and design of exercise, sleep, and social interventions to prevent and/or slow disease progression.

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