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Evaluation of functional methods for human movement modelling

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: accurate assessment of human joint parameters is a critical issue for the quantitative movement analysis, due to a direct influence on motion patterns. In this study three different known functional methods are experimentally compared to identify knee joint kinematics for further gait and motion analysis purposes. Methods: taking into account the human knee physiology complexity, within its roto-translation, the study is conducted on a lower limb mechanical analogue with a polycentric hinge-based kinematic model. The device mimics a joint with a mobile axis of rotation whose position is definable. Sets of reflective markers are placed on the dummy and flexion-extension movements are imposed to the shank segment. Marker positions are acquired using an optoelectronic motion capture system (Vicon 512). Results: acquired markers’ positions are used as input data to the three functional methods considered. These ones approximate the polycentric knee joint with a fixed single axis model. Different ranges of motion and number of markers are considered for each functional method. Results are presented through the evaluation of accuracy and precision concerning both misalignment and distance errors between the estimated axis of rotation and the instantaneous polycentric one, used as reference. Conclusion: the study shows the feasibility of the identification of joint parameters with functional approaches applied on a polycentric mechanism, differently from those usually conceived by the reviewed algorithms. Moreover, it quantifies and compares the approximation errors using different algorithms, by varying number and position of markers, as well ranges of motion.
Rocznik
Strony
31--38
Opis fizyczny
Bibliogr. 25 poz., rys., tab., wykr.
Twórcy
autor
  • Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Italy
autor
  • Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Italy
  • Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Italy
Bibliografia
  • [1] BELFORTE G., SORLI M., GASTALDI L., Active orthosis for rehabilitation and passive exercise, Int. Conf. on Simulations in Biomedicine, BIOMED, 1997, 199–208.
  • [2] CAPPOZZO A., CROCE U.D., LEARDINI A., CHIARI L., Human movement analysis using stereophotogrammetry. Part 1: Theoretical background, Gait Posture, 2005, Vol. 21, 186–196.
  • [3] CROCE U.D., LEARDINI A., CHIARI L., CAPPOZZO A., Human movement analysis using stereophotogrammetry. Part 4: Assessment of anatomical landmark misplacement and its effects on joint kinematics, Gait Posture, 2005, Vol. 21, 226–237.
  • [4] DAVIS I., OUNPUU S., TYBURSKI D., GAGE J.R., A gait analysis data collection and reduction technique, Hum. Movement. Sci., 1991, Vol. 10(5), 575–587.
  • [5] EHRIG R.M., TAYLOR W.R., DUDA G.N., HELLER M.O., A survey of formal methods for determining the centre of rotation of ball joints, J. Biomech., 2006, Vol. 39, 2798–2809.
  • [6] EHRIG R.M., TAYLOR W.R., DUDA G.N., HELLER M.O., A survey of formal methods for determining functional joint axes, J. Biomech., 2007, Vol. 40, 2150–2157.
  • [7] FRIGO C., RABUFFETTI M., Multifactorial estimation of hip and knee joint centers for clinical application of gait analysis, Gait Posture, 1998, Vol. 8, 91–102.
  • [8] GALETTO M., GASTALDI L., LISCO G., MASTROGIACOMO L., PASTORELLI S., Accuracy evaluation of a new stereophotogrammetry-based functional method for joint kinematic analysis in biomechanics, P. I Mech. Eng. Part H: J. Engineering in Medicine, 2014, Vol. 228(11), 1183–1192.
  • [9] GAMAGE S.S.H.U., LASENBY J., New least squares solutions for estimating the average centre of rotation and the axis of rotation, J. Biomech., 2002, Vol. 35, 87–93.
  • [10] GASTALDI L., PASTORELLI S., FRASSINELLI S., A Biomechanical Approach to Paralympic Cross-Country Sit-Ski Racing, Clin. J. Sport Med., 2012, Vol. 22, 58–64.
  • [11] HALVORSEN K., LESSER M., LUNDBERG A., A new method for estimating the axis of rotation and the center of rotation, J. Biomech., 1999, Vol. 32, 1221–1227.
  • [12] KADABA M.P., RAMAKRISHNAN H.K., WOOTTEN M.E., Measurement of lower extremity kinematics during level walking, J. Orthopad. Res., 1990, 8383–8392.
  • [13] KISS R., Variability of gait characterized by normalized deviation, Acta Bioeng. Biomech., 2010, Vol. 12(1), 19–23.
  • [14] LEARDINI A., CAPPOZZO A., CATANI F., TOKSVIG-LARSEN S., PETITTO A., SFORZA V., CASSANELLI G., GIANNINI S., Validation of a functional method for the estimation of hip joint centre location, J. Biomech., 1998, Vol. 32, 99–103.
  • [15] LEARDINI A., CHIARI L., DELLA CROCE U., CAPPOZZO A., Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation, Gait Posture, 2005, Vol. 21(2), 212–225.
  • [16] MACWILLIAMS B.A., A comparison of four functional methods to determine centers and axes of rotations, Gait Posture, 2008, Vol. 28, 673–679.
  • [17] PIAZZA S.J., OKITA N., CAVANAGH P.R., Accuracy of the functional method of hip joint center location: effects of limited motion and varied implementation, J. Biomech., 2010, Vol. 34, 967–973.
  • [18] SCHWARTZ M.H., ROZUMALSKI A., A new method for estimating joint parameters from motion data, J. Biomech., 2005, Vol. 38, 107–116.
  • [19] SEIDEL G.K., MARCHINDA D.M., DIJKERS M., SOUTAS- -LITTLE R.W., Hip joint center location from palpable bony landmarks-a cadaver study, J. Biomech., 1995, Vol. 28(8), 995–998.
  • [20] SPOOR C.W., VELDPAUS F.E., Rigid body motion calculated from spatial coordinates of markers, J. Biomech., 1980, Vol. 13, 391– 393.
  • [21] STAGNI R., FANTOZZI S., CAPPELLO A., LEARDINI A., Quantification of soft tissue artefact in motion analysis by combining 3D fluoroscopy and stereophotogrammetry: a study on two subjects. Clin. Biomech., 2005, Vol. 20, 320–329.
  • [22] STEWART C., SHORTLAND A.P., The biomechanics of pathological gait – from muscle to movement, Acta Bioeng. Biomech., 2010, Vol. 12(3), 3–12.
  • [23] SZCZERBIK E., KALINOWSKA M., The influence of knee marker placement error on evaluation of gait kinematic parameters, Acta Bioeng. Biomech., 2001, Vol. 13(3), 43–43.
  • [24] TAKEDA R., LISCO G., FUJISAWA T., GASTALDI L., TOHYAMA H., TADANO S., Drift removal for improving the accuracy of gait parameters using wearable sensor systems, Sensors (Basel), 2014, Vol. 14(12), 23230–23247.
  • [25] WOLTRING H.J., HUISKES R., DE LANGE A., VELDPAUS F.E., Finite centroid and helical axis estimation from noisy landmark measurements in the study of human joint kinematics, J. Biomech., 1985, Vol. 18(5), 379–389.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e33be253-3271-49dd-b335-b25445a08234
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