Publications by authors named "Bhrigu Lahkar"

Balance studies usually focus on quantities describing the global body motion. Assessing such quantities using classical marker-based approach can be tedious and modify the participant's behaviour. The recent development of markerless motion capture methods could bypass the issues related to the use of markers.

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Kinematic analysis of the upper extremity can be useful to assess the performance and skill levels of athletes during combat sports such as boxing. Although marker-based approach is widely used to obtain kinematic data, it is not suitable for "in the field" activities, i.e.

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Three-dimensional bone reconstructions from medical imaging are essential for biomechanical modelling and are growing tools in clinics. Several methods of lower limbs reconstruction from biplanar radiographs have been proposed in the literature but with significant operator dependence. A novel reconstruction method based on reduced manual annotation, statistical shape models and fully automatic adjustments was proposed in this study.

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Article Synopsis
  • - Skin Marker (SM) based motion capture is widely used for analyzing motion, but its accuracy is often affected by Soft Tissue Artifact (STA), which is particularly problematic in clinical gait analysis.
  • - Current solutions to compensate for STA, like multi-body optimization methods, use simplified joint models that still struggle to reliably address the issue, prompting the exploration of alternative approaches.
  • - The study proposes a conceptual Finite Element (FE) model of the lower limb for STA compensation, showing that STA leads to significant inaccuracies in hip and knee kinematics, and suggests that personalized models could improve accuracy across different activities.
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Article Synopsis
  • Subject-specific tensioning of knee ligaments is crucial for joint stability and complicates finite element model development.
  • The study introduced a method to quantify ligament prestrains using biplanar X-ray and CT data, testing its effectiveness against cadaveric specimen responses.
  • Results showed that personalized models provided comparable accuracy to existing studies, marking progress towards clinical applications like ligament balancing in knee treatments.
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