This project aims to address the impact of frailty on older adults, particularly its connection to cognitive impairments such as dementia. By identifying frailty in its early stages, interventions can be designed to slow down the progression of cognitive decline. To achieve this, the project plans to develop a reliable at-home monitoring system that can accurately track frailty in older adults with mild cognitive impairment or dementia. By utilizing cutting-edge technologies such as high-precision indoor positioning and home-installed sensors, referred to as zero-effort technologies (ZETs), the system will collect continuous sensor data, which will be analyzed to identify indicators of frailty.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Slowness (Mobility)
Timeframe: through study completion, within a total average of 2 hours
Weight (lbs, Kgs)
Timeframe: through study completion, within a total average of 2 hours
Exhaustion
Timeframe: through study completion, within a total average of 2 hours
Strength - Handgrip
Timeframe: through study completion, within a total average of 2 hours
Activity
Timeframe: through study completion, within a total average of 2 hours
Meal Preparation
Timeframe: through study completion, within a total average of 2 hours
Observe Free Activity
Timeframe: through study completion, within a total average of 2 hours
Qualitative Interviews Regarding Technology
Timeframe: Through study completion, within a total average of 2 hours