Delia Patrone
Deep Learning-based Mobile Platform for Remote Functional Recovery Monitoring After Total Hip Arthroplasty.
Rel. Luca Ulrich, Giorgia Marullo. Politecnico di Torino, Master of science program in Biomedical Engineering, 2025
Abstract
Ensuring functional recovery and early complication detection after Total Hip Arthroplasty (THA) requires reliable follow-up systems. Digital health technologies offer new opportunities to support patients remotely and improve clinical decision-making. This thesis presents My Mobility, a mobile client–server application designed to assist patients and orthopaedic clinicians during post-operative rehabilitation. Through continuous and multimodal telemonitoring, the system aims to reduce the incidence of early dislocation, one of the leading causes of THA revision surgery. The telemonitoring process integrates three complementary data sources: videos recording the patient’s weekly performance in hip mobility exercises, quantitative gait metrics extracted via smartphone integration with Google Fit, and responses to a validated recovery questionnaire.
These data allow the orthopaedist to track progress remotely and tailor the rehabilitation pathway accordingly
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