Artificial intelligence detection of cognitive impairment in older adults during walking.

ABSTRACT:

Introduction

To detect early cognitive impairment in community-dwelling older adults, this study explored the viability of artificial intelligence (AI)-assisted linear acceleration and angular velocity analysis during walking.

Methods

This cross-sectional study included 879 participants without dementia (female, 60.6%; mean age, 73.5 years) from the 2011 Comprehensive Gerontology Survey. Sensors attached to the pelvis and left ankle recorded the triaxial linear acceleration and angular velocity while the participants walked at a comfortable speed. Cognitive impairment was determined using Mini-Mental State Examination scores. Deep learning models were used to discern the linear acceleration and angular velocity data of 12,302 walking strides.

Results

The models' avera

SUBMITTER: Obuchi SP 

PROVIDER: S-EPMC11424983 | biostudies-literature | 2024 Jul-Sep

REPOSITORIES: biostudies-literature