Gait Pattern of Professional Fencers

  • Zsolt Knoll
  • László Kocsis
  • Rita Kiss
Conference paper
Part of the CISM Courses and Lectures book series (CISM, volume 473)


This study used a comprehensive approach, including kinematic and EMG data analysis to determine how normal gait patterns may change as a result of professional non-cyclical sport activity and to determine the electromiographical pattern of m. adductor longus. The study was performed on 37 professional fencers and 68 healthy nonprofessional subjects as the control group. Gait analysis was performed using the zebris three-dimensional ultrasound-based system with surface electromyography (zebris). Kinematic data (spatial-temporal parameters, knee joint kinematics and relative ligament-movement parameter) were recorded for the lower limb. The examined muscles include vastus lateralis and medialis, biceps femoris and adductor longus. The analysis of values of professional and non-professional subject shows that the influence of well — proportioned muscle is not due to a reduction of muscle activity during the all-days-motion, but rather a more complex neuromuscular mechanism, which brings about effectiveness in gait and a joint stability. The EMG traces of m. adductor longus show an adductor longus avoidance gait for one small part of subjects, which does not depend on gender, age and sport activity level. The results suggest that the reduced rotation of thigh could result a reduced rise in adductor longus EMG activity during preswing.


Anterior Cruciate Ligament Posterior Cruciate Ligament Gait Pattern Biceps Femoris Knee Angle 
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  1. Alton, F., Baldey, L., Caplan, S., Morrissey, MC. (1998). A kinematic comparison of over ground and treadmill walking. Clinical Biomechanics. 13:434–440.CrossRefGoogle Scholar
  2. Bechtol, C. O. (1975). Normal human gait. In J.H. Bowker, C.B. Hall: Atlas of orthoticis: American Academy of Orthopeadic Surgeon. 133–143.Google Scholar
  3. Chao, E. Y. (1980). Justification of triaxial goniometry for the measurement of joint rotation. J of Biomechanics. 13:989–1006.CrossRefGoogle Scholar
  4. Ciccotti, M. G., Kerlan, R. K., Perry, J., Pink, M. (1994). An electromyographic analyis of the knee during functional activities. I. The normal profile. American Journal of Sports Medicine. 22:645–650.CrossRefGoogle Scholar
  5. Grood, E. S., Suntay, W. J. (1983). A joint coordinate system for the clinical description of three-dimensional motions. Application to the knee. Journal of Biomechanical Engineering. 105:136–144.CrossRefGoogle Scholar
  6. Knoll, Zs., Kocsis, L., Kiss, R. (2003). Joint kinematics and spatial-temporal parameters of gait measured by an ultrasound-based system. Manuscript submitted for publication.Google Scholar
  7. Kocsis, L., Béda, G. (2001). Closed formulae to determine the angular velocity of a body-segment based on 3D measurements. Acta Physiologica Hungarica. 88:1–13.CrossRefGoogle Scholar
  8. Matsas, A, Taylor, N, McBurney, H. (2000). Knee joint kinematics from familiarized treadmill walking can be generalized to over ground walking in young unimpaired subjects. Gait and Posture 11: 46–53.CrossRefGoogle Scholar
  9. Vaughan, C. L., Davis, B. L., O’Connor J. C.(1999). Dynamics of human gait. Kiboho Publisher, Cape Town, South Africa.Google Scholar

Copyright information

© Springer-Verlag Wien 2004

Authors and Affiliations

  • Zsolt Knoll
    • 1
  • László Kocsis
    • 2
  • Rita Kiss
    • 3
  1. 1.MEDICaMENTOR FoundBudapestHungary
  2. 2.Department of Applied Mechanics, Biomechanical LaboratoryBudapest University of Technology and EconomicsBudapestHungary
  3. 3.Academic Research Group of StructuresBudapest University of Technology and EconomicsBudapestHungary

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