Intuition Brain Health Study: a smartphone- and smartwatch-based virtual, observational study using multimodal mobile sensing to classify and detect mild cognitive impairment

Paul Butler,Rhoda Au,Andrew Becker,Matt Bianchi,Roland Brown, Gautier Cosne, Gizem Demircioglu,Michael Erkkinen, Audrey Gabelle, Matt Hobbs, Richard Hughes, Adrien Juraver,Jessica Langbaum, Hanson Lenyoun, Jennifer Lingler, Joaquin Penalver-Andres, Hung Pham,Anton Porsteinsson, Pamela Price,Yakeel Quiroz, Daniel Roggen,Paramita Saha-Chaudhuri, Alf Scotland,Sharon Sha, Marty Sliwinski, Han Song, Jenny Yang,Shibeshih Belachew

crossref(2024)

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摘要
Abstract Smart devices are utilized by billions worldwide. The ubiquity of consumer-grade smart devices provides opportunities to robustly capture real-world cognition. Intuition (NCT05058950) was a virtual, observational study that enrolled 23,004 U.S. adults in 18-months collecting longitudinal multimodal data via iPhone and Apple Watch using a custom research application that captured routine device use, self-reported health information, and cognitive assessments. The study objectives were to classify mild cognitive impairment, characterize cognitive trajectories, and develop tools to detect and track cognitive health at scale. The study addresses sources of bias in current cognitive health research, including limited representativeness (e.g., racial/ethnic, geographic) and accuracy of cognitive measurement tools. We provide study rationale and design, then describe baseline demographics, clinical, and neuropsychological characteristics stratified by vulnerability to cognitive decline. Initial results support the feasibility to detect mild cognitive impairment and describe at-risk cognitive health trajectories in an ecologically valid and demographically diverse aging population.
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