Clinical Device for Recovery Monitoring in Total Knee Arthroplasty 

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We addressed the challenges of postoperative recovery in Total Knee Arthroplasty (TKA) by proposing a clinician-based design platform that leverages motion tracking technology and machine learning algorithms integrated with IMU sensors. Our platform aims to standardize and improve the efficiency and usability of TKA recovery practices, reducing the reliance on clinicians' intuition. By adopting a data-driven approach, we seek to provide more precise and consistent rehabilitation plans, enabling better monitoring of patient progress and optimizing the overall recovery process.