Abstract
A proper gait assessment in patients with knee or hip injuries strongly determines the diagnosis and consequently the evolution of the pathology, the quality of life of implanted patients, and the overall costs involved. Among the different strategies to clinically assess gait, 3D optical tracking provides a reliable and objective evaluation. This method involves state-of-the-art image analysis that performs anatomical measurements upon bony landmarks identified by markers attached to the patient. We show how this technology can be used to perform patients diagnosis and follow-up by grouping the results of gait measurement with a competitive neural network where the number of clusters is automatically determined.
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References
Kawakami, H., Sugano, N., Yonenobu, K., Yoshikawa, H., Ochi, T., Hattori, A., Suzuki, N.: Gait Analysis System for Assessment of Dynamic Loading Axis of the Knee. Gait & Posture 21, 125–130 (2005)
Ghoussayni, S., Stevens, C., Durham, S., Ewins, D.: Assessment and Validation of a Simple Automated Method for the Detection of Gait Events and Intervals. Gait & Posture 20, 266–272 (2004)
Hallemans, A., De Clercq, D., Otten, B., Aerts, P.: 3D Joint Dynamics of Walking in Toddlers: A Cross-Sectional Study Spanning the First Rapid Development Phase of Walking. Gait & Posture (in press)
Kim, C.M., Eng, J.J.: Magnitude and Pattern of 3D Kinematic and Kinetic Gait Profiles in Persons with Stroke: Relationship to Walking Speed. Gait & Posture 20, 140–146 (2004)
Manal, K., Stanhope, S.J.: A Novel Method for Displaying Gait and Clinical Movement Analysis Data. Gait & Posture 20, 222–226 (2004)
Alkjaer, T., Simonsen, E.B., Dyhre-Poulsen, K.: Comparison of Inverse Dynamics Calculated by Two- and Three-Dimensional Models During Walking. Gait & Posture 13, 73–77 (2001)
Miller, C., Mulavara, A., Bloomberg, J.: A Quasi-Static Method for Determining the Characteristics of a Motion Capture Camera System in a “Split-Volume” Configuration. Gait & Posture 16, 283–287 (2002)
Sadeghi, H., Allard, P., Shafie, K., Mathieu, P.A., Sadeghi, S., Prince, F., Ramsay, J.: Reduction of Gait Data Variability Using Curve Registration. Gait & Posture 12, 257–264 (2000)
Churchill, A.J.G., Halligan, P.W., Wade, T.W.: RIVCAM: A Simple Video-Based Kinematic Analysis for Clinical Disorders of Gait. Computer Methods and Programs in Biomedicine 69(3), 197–209 (2001)
Holzreiter, S.H., Köhle, M.E.: Assessment of Gait Patterns Using Neural Networks. J. Biomech. 26(6), 645–651 (1993)
Köhle, M.E., Merkl, D.: Identification of gait patterns with self-organizing maps based on ground reaction force. In: Proc. of the European Symposium on Artificial Neural Networks (ESANN 1996), Bruges, Belgium, April 1996, pp. 24–26 (1996)
Köhle, M.E., Merkl, D.: Analyzing human gait patterns for malfunction detection. In: Proceedings of the 2000 ACM symposium on Applied computing, Como, Italy, pp. 41–45 (2000)
Bouguet, J.Y.: Camera Calibration Toolbox for Matlab (2004), http://www.vision.caltech.edu/bouguetj/calib_doc/
Ahalt, S.C., Krishnamurthy, A.K., Chen, P., Melton, D.E.: Competitive learning algorithms for vector quantization. Neural Networks 3(3), 277–290 (1990)
Sánchez, A.M., Vico, F.J., Veredas, F.J., Cabello, S., López, I.: Evolutionary competitive learning for automatic detection of oil leaks in olive pomace. Technical Report # 05/04. Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Spain (2005)
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Sánchez, A. et al. (2005). A Competitive-Based Method for Determining the Number of Groups: A Clinical Application. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_149
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DOI: https://doi.org/10.1007/11494669_149
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26208-4
Online ISBN: 978-3-540-32106-4
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