The Disconnect Between Perception and Performance

_{‍Self-report tools like the Lower Extremity Functional Scale (LEFS) capture individual perceptions of health, yet often show only modest correlations with performance-based results. This research explores how ecologically valid motion data, collected via smartphone, bridges the gap between subjective impairment and objective physical activity.}

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Quantifying Mobility in Real-Life Environments

_{Using proprietary algorithms and an integrated inertial measurement unit (IMU), this study analyzed 132 rehabilitation subjects. By moving assessment into the patient’s daily life, OneStep provides a quantitative biomechanical assessment of ambulation. The study found that remotely collected data is significantly associated with a patient’s self-evaluated function across discrete functional categories.}

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Velocity as a Robust Predictor of Function

_{The findings reveal that velocity had the strongest effect size in predicting functional categories. While therapy often addresses asymmetry (inter-limb imbalance), parameters like cadence, velocity, and stride length align most closely with a patient’s sense of ability. Capturing real-time information about movement provides an accurate impression of daily performance and a data-driven foundation to inform therapeutic management.}

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