Three Important Gait Parameters that Correlate with Patient-Reported Outcome Measures
Expanding Remote Monitoring Capabilities
While standard gait assessment often focuses on speed and step length, OneStep’s remote monitoring is expanding to include new gait attributes. This research introduces three novel measures — cadence variability, spatial variability, and sway — proposing new definitions that take advantage of the unique capabilities of smartphone-based gait analysis.
Capturing the Nuance of Clinical Conditions
The study compared these new metrics against several established questionnaires which score different aspects of a patient’s clinical condition. The findings revealed significant correlations between these proposed measures and the level of functional impairment. These metrics capture characteristics of gait associated with clinical conditions beyond the information captured by conventional gait metrics, providing a more granular look at patient health.
A New Lens for Predictive Power
By moving beyond traditional snapshots, these measures offer a deeper understanding of stability and consistency in a patient's natural environment. This research suggests that cadence variability, spatial variability, and sway are sensitive indicators of a patient's status, offering a foundation to verify the predictive power of these new measures for critical outcomes, such as fall risk.
Unlock the Full Clinical Paper
Discover the data behind these three new gait measures and how they are redefining the scope of smartphone-based motion analysis.