Abstract
Recently Freeman e Pinskerova stated: “It may be hoped that the next few years will see a resolution to the question: how does the healthy and diseased knee move in the activities of daily life?”. To contribute to their auspice and to pursue the relevant scientific objectives, joint kinematics must be estimated with a higher resolution than presently available. To this purpose, the following issues must be tackled: 1) optimal estimation of the instantaneous pose of bones in a laboratory system of reference during the execution a physical exercise using the instantaneous position or pose of skin markers; 2) optimal estimation of the subject-specific bone morphology and determination of the relevant anatomical axes.
The first issue entails the development of an estimator of bone pose which incorporates a mathematical model of the displacement of the markers relative to the underlying bone identified using a non-invasive, subject-specific, approach. At present, when subject-specific bioimages are not available, anatomical data are obtained through a low resolution anatomical calibration which entails the determination, through stereophotogrammetry, of the position of the few bony landmarks that are identifiable through palpation. This procedure, although universally used, provides totally unsatisfactory results. Thus, the second issue calls for the development of a procedure which allows for an estimate of subject-specific bone digital models and their registration with the movement data. In this way, the manual identification of anatomical landmarks may be avoided, and, since the entire bone is available instead of a few anatomical landmarks, the identification of anatomical axes would enjoy more flexibility and results would be more accurate and repeatable.
This paper presents the state of the art of knowledge regarding the above-mentioned issues.
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References
Freeman MAR, Pinskerova V (2005) The movement of the normal tibio-femoral joint. J Biomech. 38: 197–208
Cappozzo A (1984) Gait analysis methodology. Human Movement Science 3: 27–50.
Cappozzo A., Catani F., Della Croce U. et al. (1995). Position and orientation in space of bones during movement, anatomical frame definition and determination. Clinical Biomechanics 10: 171–178.
Della Croce U, Leardini A, Chiari L, Cappozzo A (2005) Human movement analysis using stereophotogrammetry. Part 4: assessment of anatomical landmark misplacement and its effects on joint kinematics. Gait & Posture 21:226–237.
Ramakrishnan HK, Kadaba MP (1991) On the estimation of joint kinematics during gait. J Biomech. 24(10):969–977.
Della Croce U, Cappozzo A, Kerrigan D.C. (1999) Pelvis and lower limb anatomical landmark calibration precision and its propagation to bone geometry and joint kinematics. Medical & Biological Engineering 37: 155–161.
Stagni R, Leardini A, Cappozzo A et al. (2000) Effects of hip joint centre mislocation on gait analysis results. J Biomech. 33: 1479–1487.
Donati M, Camomilla V, Vannozzi G et al. (2007) Enhanced anatomical calibration in in-vivo movement analysis. Gait & Posture 26(2): 179–185.
Camomilla V, Donati M, Vannozzi G et al. (2008) Anatomical frame identification and reconstruction for repeatable lower limb joint kinematics estimates. J Biomech 41: 2219–2226.
Kurosawa, H., Walker, PS, Abe S, et al. (1985) Geometry and motion of the knee for implant and prosthetic design. J Biomech. 18, 487–499.
Picerno P, Cereatti A, Cappozzo A. Joint kinematics estimate using wearable inertial and magnetic sensing modules. Gait & Posture [Epub ahead of print]
Camomilla V, Cereatti A, Vannozzi G et al. (2006) An optimized protocol for hip joint centre determination using the functional method. J Biomech. 39: 1096–1106.
Veldpaus FE, Woltring HJ, Dortmans LJ (1988) A least-squares algorithm for the equiform transformation from spatial marker coordinates. J Biomech. 21:45–54.
Andriacchi TP, Alexander EJ, Toney MK et al. (1998) A point cluster method for in vivo motion analysis: applied to a study of knee kinematics. Journal of Biomechanical Engineering 120:743–749.
Cereatti A, Della Croce U, Cappozzo A (2006) Reconstruction of skeletal movement using skin markers: comparative assessment of bone pose estimators. Journal of NeuroEnging and Rehabilitation 3:7.
Alexander EJ, Andriacchi TP (2001) Correcting for deformation in skinbased marker systems. J Biomech. 34:355–361.
Lu TW, O’Connor JJ.(1999) Bone position estimation from skin marker co-ordinates using global optimization with joint constraints. J Biomech. 32:129–134.
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Cappozzo, A. (2009). The observation of human joint movement. In: Vander Sloten, J., Verdonck, P., Nyssen, M., Haueisen, J. (eds) 4th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89208-3_32
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DOI: https://doi.org/10.1007/978-3-540-89208-3_32
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