The Need for Immediate Objective Feedback

_{In prosthetic care, identifying the precise impact of a device adjustment or rehabilitation program often relies on visual observation or subjective patient feedback. However, these traditional methods can miss subtle changes in walking patterns. This research highlights the critical need for immediate objective feedback to inform clinical decision-making and verify if interventions have resulted in clinically meaningful improvements.}

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Establishing Distinct BKA and AKA Mobility Profiles

^{Using an AI-powered Digital Care Platform, this study analyzed a cohort of patients with lower limb amputations in real-life conditions without requiring any wearables. The data establishes clear mobility profiles: while many patients with below-the-knee amputation (BKA) walk within healthy ranges, those with above-the-knee amputation (AKA) often present with greater variabilities — specifically in cadence variability — which may indicate a high risk of falling, instability, or poor balance.}

Correlating Gait Trends with Standardized Outcome Measures

_{A key breakthrough of this study is the correlation of gait trends with outcome measures. The findings demonstrate clear correlations where higher scores on these assessments are directly correlated with healthier gait parameters, such as increased speed and reduced stance asymmetry. By correlating gait analysis with outcome measures, clinicians gain a comprehensive picture of a patient’s mobility, enabling them to track recovery through quantifiable metrics.}

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Unlock the Full Clinical Paper

_{Explore the data behind how continuous gait analysis is transforming prosthetic rehabilitation and device optimization.}