Unknown

Dataset Information

Wearable Inertial Measurement Units for Assessing Gait in Real-World Environments.


ABSTRACT:

Background

Walking patterns can provide important indications of a person's health status and be beneficial in the early diagnosis of individuals with a potential walking disorder. For appropriate gait analysis, it is critical that natural functional walking characteristics are captured, rather than those experienced in artificial or observed settings. To better understand the extent to which setting influences gait patterns, and particularly whether observation plays a varying role on subjects of different ages, the current study investigates to what extent people walk differently in lab versus real-world environments and whether age dependencies exist.

Methods

The walking patterns of 20 young and 20 elderly healthy subjects were recorded with five wearable inertial measure

SUBMITTER: Renggli D 

PROVIDER: S-EPMC7044412 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature