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Statistical shape model-based estimation of registration error in computer-assisted total knee arthroplasty

Author(s): Gheflati B; Mirzaei M; Zuhars J; Rottoo S; Rivaz H;

Purpose: Computer-assisted surgical navigation systems have been developed to improve the precision of total knee arthroplasty (TKA) by providing real-time guidance on implant alignment relative to patient anatomy. However, surface registration remains a key source of error that can propagate through the surgical workflow. This study investigates how pati ...

Article GUID: 41495592


Cardiometabolic disease risk in relation to objectively measured physical activity, sedentary behaviour in South African adults with knee and hip osteoarthritis

Author(s): Kaoje YS; Mokete L; Dafkin C; Pietrzak J; Sikhauli K; Frimpong E; Meiring RM;

Purpose: This study aimed to investigate the relationship between cardiometabolic disease risk and time spent in device-measured activity behaviours in a cohort of people with advanced osteoarthritis (OA) awaiting joint replacement surgery. Materials and methods: Cardiometabolic risk biomarkers were assessed in people with OA (n = 96; hip n = 38, knee n ...

Article GUID: 39162078


Comparing novel smartphone pose estimation frameworks with the Kinect V2 for knee tracking during athletic stress tests

Author(s): Babouras A; Abdelnour P; Fevens T; Martineau PA;

Purpose: To compare the accuracy of the Microsoft Kinect V2 with novel pose estimation frameworks, in assessing knee kinematics during athletic stress tests, for fast and portable risk assessment of anterior cruciate ligament (ACL) injury. Methods: We captured 254 varsity athletes, using the Kinect V2 and a smartphone application utilizing Google's M ...

Article GUID: 38730186


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