Digital Mobility Biomarkers
Research Project on Digital Biomarkers of Mobility for Early Identification of Alzheimer's Disease
Our mission is to create accessible, scalable tools that use digital mobility data to detect Alzheimer’s early and support personalized, equitable care.
What is the study about?
This study explores how data from everyday technologies—like smartphones and wearable devices—can help us detect the early signs of Alzheimer’s disease. By analyzing real-life movement and activity patterns, we aim to understand how brain health changes over time. The goal is to find simple, non-invasive ways to spot early cognitive decline, distinguish between healthy aging and mild cognitive impairment, and identify individuals who may be at higher risk due to underlying brain changes.
Who can participate?
We are looking for adults who:
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Are between 60 and 80 years old
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Are fluent in English
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Have no history of neurological, psychiatric, or vestibular conditions that could affect cognition
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Are independent in daily activities or require minimal assistance
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Walk at least 15 minutes per week
We are recruiting three groups:
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Healthy Controls: No diagnosis of cognitive impairment
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TIA Participants: Have experienced short-term neurological symptoms due to transient brain ischemia
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MCI Participants: Clinically diagnosed with mild cognitive impairment due to Alzheimer’s disease
Our Team
Principal Investigators: Drs. Sayeh Bayat (UCalgary) and Philip A. Barber (UCalgary)
Study Team:
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Shimaa Aboudeif (MSc student, UCalgary)
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Bhavana Gill (Research Assistant, UCalgary)
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Britney Denroche (Research Assistant, UCalgary)
Contact
For more information about the study, email: