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The Scientific World Journal
Volume 2013 (2013), Article ID 284358, 7 pages
http://dx.doi.org/10.1155/2013/284358
Review Article

Three-Dimensional Gait Analysis Can Shed New Light on Walking in Patients with Haemophilia

1Haemostasis and Thrombosis Unit, Saint-Luc University Clinics, 1200 Brussels, Belgium
2Physical Medicine and Rehabilitation Unit, Saint-Luc University Clinics, 1200 Brussels, Belgium
3Institute of Neuroscience (IoNS), Catholic University of Louvain, 1200 Brussels, Belgium
4Department of Biomedical Kinesiology, Faculty of Kinesiology and Rehabilitation Sciences, KU Leuven, 3001 Heverlee, Belgium

Received 15 February 2013; Accepted 20 April 2013

Academic Editors: X. Feng, D. Lisini, and F. Querol

Copyright © 2013 Sébastien Lobet et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Jinyan Chen, and Jiansheng Liu, “Average Gait Differential Image Based Human Recognition,” The Scientific World Journal, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Marc Dauty, Raphael Gross, Fabien Leboeuf, and Marc Trossaert, “Comparison of total ankle replacement and ankle arthrodesis in patients with haemophilia using gait analysis: two case reports,” BMC Research Notes, vol. 8, no. 1, 2015. View at Publisher · View at Google Scholar
  • Cedric Hermans, Gerry Dolan, Ian Jennings, Jerzy Windyga, Sebastien Lobet, E. Carlos Rodriguez-Merchan, Matteo Nicola Dario Di Minno, Victor Jimenez-Yuste, and Brian O'Mahony, “Managing Haemophilia for Life: 5th Haemophilia Global Summit,” European Journal Of Haematology, vol. 95, pp. 1–25, 2015. View at Publisher · View at Google Scholar
  • S. C. M. Stoof, D. Hodgins, F. W. G. Leebeek, M. H. Cnossen, H. L. D. Horemans, S. F. E. Praet, and M. J. H. A. Kruip, “Sensor-based gait analysis as a simple tool to measure gait in haemophilia patients,” Haemophilia, 2017. View at Publisher · View at Google Scholar
  • Thomas Hilberg, “Programmed Sports Therapy (PST) in People with Haemophilia (PwH) “Sports Therapy Model for Rare Diseases”,” Orphanet Journal of Rare Diseases, vol. 13, no. 1, 2018. View at Publisher · View at Google Scholar
  • Assogba, Boulet, Mahaudens, and Detrembleur, “The effects of real and artificial Leg Length Discrepancy on mechanical work and energy cost during the gait,” Gait and Posture, vol. 59, pp. 147–151, 2018. View at Publisher · View at Google Scholar