Our group investigates how objective, sensor-based activity data can enhance the understanding of recovery after fractures. Using elbow-worn accelerometers, we continuously capture patients’ real-world movement patterns during the rehabilitation period. These data provide a direct, unbiased measure of physical activity — reflecting how patients actually function in their everyday environments.
We combine these objective activity metrics with patient-reported outcome measures (PROMs) and clinical data to explore how movement, perceived recovery, and functional capacity relate to one another. Our goal is to identify digital markers that truly reflect recovery — and to understand why traditional scores such as the Constant score may not always align with real-life activity.
Through this work, we aim to move beyond snapshot assessments and towards continuous, data-driven monitoring of recovery, offering new perspectives for both clinical research and patient-centered care.
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