Recent studies have suggested that limb kinetics during swing or float phase movements are important for ACL injury analysis and injury prevention . Kinetic (moment and force) calculations during swing phase can be sensitive to the accuracy of subject-specific body segment parameters (BSP) including mass and inertial properties. While numerous methods for estimating BSP have been implemented including regression equations [2,3], geometric body shape estimations, medical imaging and optimization approaches, they all have application specific limitations. Almost all of these BSP estimation approaches are limited by assumptions that: the mass center (CM) lies on the axis connecting the segment’s proximal and distal joint center, the body principle moments of inertia are aligned with the segment axes , and the right and left limbs are symmetric. These assumptions could introduce errors in 3D kinematic analysis. Non-invasive methods of measuring the exact geometry and volume of body segments have the potential to reduce most sources of error.
- Bioengineering Division
An Automated Image-Based Method of 3D Subject Specific Body Segment Parameter Estimation
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Sheets, AL, Corazza, S, & Andriacchi, T. "An Automated Image-Based Method of 3D Subject Specific Body Segment Parameter Estimation." Proceedings of the ASME 2008 Summer Bioengineering Conference. ASME 2008 Summer Bioengineering Conference, Parts A and B. Marco Island, Florida, USA. June 25–29, 2008. pp. 857-858. ASME. https://doi.org/10.1115/SBC2008-193068
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