Feasibility of community‐based remote, biometric data collection in persons with Alzheimer’s disease and behavioral symptoms

Aging at home with Alzheimer’s disease (AD) is progressively difficult due to cognitive dysfunction interfering with persons’ functional activity and behavioral regulation. Community‐based collection of biometric data via wearable devices provide an innovative approach as a measure of behavioral symptomology. This study analyzes feasibility of remote, biometric data collection during a non‐pharmacological, home‐based randomized controlled trial of older adults with AD.