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Exploiting QuTEM for Improving Joint Angles Estimation in the Context of Clinical Motion Analysis

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper describes a statistical procedure designed to work with quaternions (QuTEM) as a useful tool for interpreting recorded joint motion in the particular context of clinical gait analysis. We believe that QuTEM addresses some of the problems of analyzing and interpreting joint motion data acquired using numerous available devices. The theoretical introduction is followed by a measured noise robustness test and two usage scenarios describing actual practical applications of this procedure.
Rocznik
Strony
283--298
Opis fizyczny
Bibliogr. 27 poz., wykr.
Twórcy
autor
  • Institute of Informatics, Silesian University of Technology
autor
  • Institute of Informatics, Silesian University of Technology
Bibliografia
  • [1] Mahalanobis P. C.: On the generalised distance in statistics. Proceedings of the National Institute of Sciences of India 2 (1): 49-55, 1936.
  • [2] Bingham C.: An antipodally symmetric distribution on the sphere. Annals of Statistics, 2 (6):1201- 1225, 1974.
  • [3] Klumpp A. R.: Singularity-Free Extraction of a Quaternion from a Direction-Cosine Matrix. Journal of Spacecraft and Rockets. Vol. 13, p. 754-755, 1976.
  • [4] Kadaba M. P., Ramakrishnan H. K., Wootten M. E.: Measurement of lower extremity kinematics during level walking. Journal of Orthopaedic Research, 8 (3), 383-92, 1990.
  • [5] Davis I., Ounpuu S., Tyburski D., Gage J. R.: A gait analysis data collection and reduction technique. Human Movement Science, 10 (5), 575-587, 1991.
  • [6] Stokes I. A. F., Blanchi J., Allard P.: Three-Dimensional Analysis of Human Movement. Human Kinetics Publishers, 92-94, 1995.
  • [7] Vaughan C. L.: Are joint torques the Holy Grail of human gait analysis? Human Movement Science, 15 (3), 423-443, 1996.
  • [8] Crawford N. R., Yamaguchi G. T., Dickman C. A.: Methods for determining spinal flexion/extension, lateral bending, and axial rotation from marker coordinate data: Analysis and refinement. Human Movement Science, 15 (1), 55-78, 1996.
  • [9] Zhang L., Zeng K., Wang G., Nuber G.: Dynamic And Static Properties Of The Human Knee Joint In Axial Rotation, Proceedings of IEEE/EMBS Oct. 30 - Nov. 2, Chicago, USA, 1997.
  • [10] Halvorsen K., Lesser M., Lundberg A.: A new method for estimating the axis of rotation and the center of rotation. Journal of Biomechanics 32 (), 1221-1227, 1999.
  • [11] Slabaugh G. G.: Computing Euler angles from a rotation matrix, 1999.
  • [12] O’Brien J., Bodenheimer R. J., Brostow G., Hodgins J.: Automatic joint parameter estimation from magnetic motion capture data. In: Proceedings of the Graphics Interface, 53-60, 2000.
  • [13] Mardia K. V., Jupp P. E.: Directional Statistics. JohnWiley and Sons, Ltd., 2000.
  • [14] Moorehead J. D., Harvey D. M., Montgomery S. C.: A Surface-Marker Imaging System to Measure a Moving Knee’s Rotational Axis Pathway in the Sagittal Plane. IEEE Transactions On Biomedical Engineering, Vol. 48, No. 3, 2001.
  • [15] Schache A. G., Wrigley T. V., Blanch P. D., Starr R., Rath D. A., Bennell K. L.: The effect of differing Cardan angle sequences on three dimensional lumbo-pelvic angular kinematics during running. Medical Engineering & Physics, 23 (7), 495-503, 2001.
  • [16] Gamage, S. S. H. U., Lasenby J.: New least squares solutions for estimating the average centre of rotation and the axis of rotation, Journal of Biomechanics 35 (), 87-93, 2002.
  • [17] Johnson M. P.: Exploiting Quaternions to Support Expressive Interactive Character Motion. Thesis (Ph. D.), Massachusetts Institute of Technology, 2003.
  • [18] Halvorsen K.: Bias compensated least squares estimate of the center of rotation. Journal of Biomechanics 36 (), 999-1008, 2003.
  • [19] Gil J. D., Stindel E., Guillard G., Hamitouche C., Roux C.: Detection Of The Functional Knee Center Using The Mean Helical Axis: Application In Computer Assisted High Tibial Osteotomy. In Proceedings of ISBI’2004. p.1557-1557, 2004.
  • [20] Schwartz M. H., Rozumalski A.: A new method for estimating joint parameters from motion data. Journal of Biomechanics, 38 (1), 107-116, 2005.
  • [21] Robert T., Che‘ze L., Dumas R., Verriest J.-P.: Validation of net joint loads calculated by inverse dynamics in case of complex movements: Application to balance recovery movements. Journal of Biomechanics, 40 (11), 2450-2456, 2007.
  • [22] Blajer W., Dziewiecki K., Mazur Z.: Multibody modeling of human body for the inverse dynamics analysis of sagittal plane movements. Multibody System Dynamics, 18 (2), 217-232, 2007.
  • [23] Ehrig R. M., Taylor W. R., Duda G. N., Heller M. O.: A survey of formal methods for determining functional joint axes. Journal of Biomechanics, 40 (10), 2150-2157, 2007.
  • [24] Yu L., Tang X., Du L., Rao C.: Measurement-based Research on the Biomechanics Characteristics of a Knee Joint. 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008.
  • [25] Gorton G. E., Hebert D. A., Gannotti M. E.: Assessment of the kinematic variability among 12 motion analysis laboratories. Gait & Posture, 29 (3), 398-402, 2009.
  • [26] Rusaw D., Ramstrand N.: Sagittal plane position of the functional joint centre of prosthetic foot/ankle mechanisms. Clinical Biomechanics, 25 (7), 713-20, 2010.
  • [27] Kun L., Inoue Y., Shibata K., Enguo C.: Ambulatory Estimation of Knee-Joint Kinematics in Anatomical Coordinate System Using Accelerometers and Magnetometers. Transactions On Biomedical Engineering, Vol. 58, No. 2, 2011.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ea12926e-288b-4084-b51c-55b1f8b3c8ea
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