Good agreement between smart device and inertial sensor-based gait parameters during a 6-min walk.

ABSTRACT

BACKGROUND: 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 QUESTION 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 ±â€¯3.7 years; BMI 23.4 ±â€¯2.9 kg/m2) 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.