Article

Traditional laboratory-based kinetic and kinematic gait analyses are
expensive, time-intensive, and impractical for clinical settings. Inertial
sensors have gained popularity in gait analysis research and more recently smart
devices have been employed to provide quantification of gait. However, no study
to date has investigated the agreement between smart device and inertial
sensor-based gait parameters during prolonged walking. RESEARCH : Compare
spatiotemporal gait metrics measured with a smart device versus previously
validated inertial sensors. METHODS: Twenty neurologically healthy young adults
(7 women; age: 25.0+/-3.7 years; BMI: 23.4+/-2.9kg/m(2)) performed a 6-min walk
test (6MWT) wearing inertial sensors and smart devices to record stride duration,
stride length, cadence, and gait speed. Pearson correlations were used to assess
associations between spatiotemporal measures from the two devices and agreement
between the two methods was assessed with Bland-Altman plots and limits of
agreement. RESULTS: All spatiotemporal gait metrics (stride duration, cadence,
stride length and gait speed) showed strong (r>0.9) associations and good
agreement between the two devices. SIGNIFICANCE: Smart devices are capable of
accurately reflecting many of the spatiotemporal gait metrics of inertial
sensors. As the smart devices also accurately reflected individual leg output,
future studies may apply this analytical strategy to clinical populations, to
identify hallmarks of disability status and disease progression in a more
ecologically valid environment.
CI - Copyright (c) 2018 Elsevier B.V. All rights reserved.

Langue : ANGLAIS