Use of artificial intelligence to assess gait parameters in older adults with and without mild cognitive impairment.

George Demiris¹, Liming Huang¹, Sean L Harrison¹, Marjorie Skubic², Justine S Sefcik³, Therese S Richmond¹, Nancy Hodgson¹

¹School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, United States.

²Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, Missouri, United States.

³College of Nursing and Health Professions, Drexel University, Philadelphia, Pennsylvania, United States.

PubMed PMC DOI PDF

Abstract

BACKGROUND AND OBJECTIVES: Falls and fall-related injuries are significant public health issues for older adults, especially those with mild cognitive impairment (MCI). This study examined how an Artificial Intelligence (AI)-enabled assessment using in-home sensor-derived changes in functional mobility and gait compares to performance-based clinical assessment in older adults with and without MCI.…

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