Key result
Walking environment linked to differences in elderly gait stability measured via smartphone IMU.
Why the study?
Current methods of measuring walkability for the elderly are limited as they do not include actual walking activity data.
Can wearable smartphone sensors quantitatively measure gait stability to assess walkability in different environments for elderly people?
Observational (n=30)
Can wearable smartphone sensors quantitatively measure gait stability to assess walkability in different environments for elderly people?
Wearable smartphone sensors can quantitatively assess walkability for the elderly by measuring gait stability across different environments.
Answers are grounded in this paper and cite their sources.
May enable smartphone-based walkability assessment in older adults; hypothesis-generating and requires prospective validation before clinical use.
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Hyunsoo Kim (2020) conducted an observational in Walkability assessment (n=30). Different walking environments vs. Other walking environments was evaluated on Gait stability measured via maximum Lyapunov exponent (MaxLE). Gait stability of elderly people, measured quantitatively via maximum Lyapunov exponent using a smartphone IMU, differs according to the walking environment.
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