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Biomechanik des Gehens und Ganganalyse

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Bewegung, Training, Leistung und Gesundheit

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Zusammenfassung

Der Gang stellt eine der wichtigsten funktionellen Bewegungsformen des täglichen Lebens dar, da er die Fortbewegung des Körpers ermöglicht. Funktionelle Defizite des aktiven und passiven Bewegungsapparates können mit Hilfe der Ganganalyse aufgezeigt werden.

Dieser Beitrag ist Teil der Sektion Sportbiomechanik, herausgegeben vom Teilherausgeber Hermann Schwameder, innerhalb des Handbuchs Sport und Sportwissenschaft, herausgegeben von Arne Güllich und Michael Krüger.

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Literatur

  • Anderson, F. C., & Pandy, M. G. (2001). Dynamic optimization of human walking. Journal of Biomechanical Engineering, 123(5), 381–390.

    Article  CAS  PubMed  Google Scholar 

  • Brown, M. J., Hutchinson, L. A., Rainbow, M. J., Deluzio, K. J., & De Asha, A. R. (2017). A comparison of self-selected walking speeds and walking speed variability when data are collected during repeated discrete trials and during continuous walking. Journal of Applied Biomechanics, 33(5), 384–387. https://doi.org/10.1123/jab.2016-0355.

    Article  PubMed  Google Scholar 

  • Buchanan, T. S., Lloyd, D. G., Manal, K., & Besier, T. F. (2004). Neuromusculoskeletal modeling: Estimation of muscle forces and joint moments and movements from measurements of neural command. Journal of Applied Biomechanics, 20(4), 367–395.

    Article  PubMed  PubMed Central  Google Scholar 

  • Cappozzo, A., Catani, F., Croce, U. D., & Leardini, A. (1995). Position and orientation in space of bones during movement: Anatomical frame definition and determination. Clinical Biomechanics (Bristol, Avon), 10(4), 171–178.

    Article  CAS  PubMed  Google Scholar 

  • Carson, M. C., Harrington, M. E., Thompson, N., O’Connor, J. J., & Theologis, T. N. (2001). Kinematic analysis of a multi-segment foot model for research and clinical applications: A repeatability analysis. Journal of Biomechanics, 34(10), 1299–1307.

    Article  CAS  PubMed  Google Scholar 

  • Cimolin, V., & Galli, M. (2014). Summary measures for clinical gait analysis: A literature review. Gait and Posture, 39(4), 1005–1010. https://doi.org/10.1016/j.gaitpost.2014.02.001.

    Article  PubMed  Google Scholar 

  • Damsgaard, M., Rasmussen, J., Christensen, S. T., Surma, E., & de Zee, M. (2006). Analysis of musculoskeletal systems in the anybody modeling system. Simulation Modelling Practice and Theory, 14(8), 1100–1111. https://doi.org/10.1016/j.simpat.2006.09.001.

    Article  Google Scholar 

  • Davis, R., Ounpuu, S., Tyburski, D., Gage, R., & J. (1991). A gait data collection and reduction technique. Human Movement Science, 10, 575–587. https://doi.org/10.1016/0167-9457(91)90046-Z.

    Article  Google Scholar 

  • Dickens, W. E., & Smith, M. F. (2006). Validation of a visual gait assessment scale for children with hemiplegic cerebral palsy. Gait and Posture, 23(1), 78–82. https://doi.org/10.1016/j.gaitpost.2004.12.002.

    Article  PubMed  Google Scholar 

  • Downey, C. (1989). Observational gait analysis handbook. The Professional Staff Association of Rancho Los Amigos Medical Center.

    Google Scholar 

  • Erdemir, A., McLean, S., Herzog, W., & van den Bogert, A. J. (2007). Model-based estimation of muscle forces exerted during movements. Clinical Biomechanics, 22(2), 131–154. https://doi.org/10.1016/j.clinbiomech.2006.09.005.

    Article  PubMed  Google Scholar 

  • Ferrari, A., Benedetti, M. G., Pavan, E., Frigo, C., Bettinelli, D., Rabuffetti, M., Crenna, P., & Leardini, A. (2008). Quantitative comparison of five current protocols in gait analysis. Gait Posture, 28(2), 207–216. https://doi.org/10.1016/j.gaitpost.2007.11.009. Epub 2008 Feb 15. PMID: 18206374.

  • Götz-Neumann, K. (2006). Gehen Verstehen. Ganganalyse in der Physiotherapie (2. Aufl.). Stuttgart: Georg Thieme.

    Google Scholar 

  • Haight, D. J., Lerner, Z. F., Board, W. J., & Browning, R. C. (2014). A comparison of slow, uphill and fast, level walking on lower extremity biomechanics and tibiofemoral joint loading in obese and nonobese adults. Journal of Orthopaedic Research, 32(2), 324–330. https://doi.org/10.1002/jor.22497.

    Article  PubMed  Google Scholar 

  • Hutchinson, L. A., Brown, M. J., Deluzio, K. J., & De Asha, A. R. (2019). Self-Selected walking speed increases when individuals are aware of being recorded. Gait and Posture, 68, 78–80. https://doi.org/10.1016/j.gaitpost.2018.11.016.

    Article  PubMed  Google Scholar 

  • Janda, V. (2009). Manuelle Muskelfunktionsdiagnostik (4. Aufl.). Urban & Fischer in Elsevier.

    Google Scholar 

  • Kadaba, M. P., Ramakrishnan, H. K., Wootten, M. E., Gainey, J., Gorton, G., & Cochran, G. V. (1989). Repeatability of kinematic, kinetic, and electromyographic data in normal adult gait. Journal of Orthopaedic Research, 7(6), 849–860. https://doi.org/10.1002/jor.1100070611.

    Article  CAS  PubMed  Google Scholar 

  • Kadaba, M. P., Ramakrishnan, H. K., & Wootten, M. E. (1990). Measurement of lower extremity kinematics during level walking. Journal of Orthopaedic Research, 8(3), 383–392. https://doi.org/10.1002/jor.1100080310.

    Article  CAS  PubMed  Google Scholar 

  • Kramers-de Quervain, I., Stacoff, A., & Stüssi, E. (2009). Gehen und Laufen. In A. Gollhofer & E. Müller (Hrsg.), Handbuch der Sportbiomechanik. Schorndorf: Hofmann.

    Google Scholar 

  • Kuster, M., Wood, G. A., Sakurai, S., & Blatter, G. (1994). Downhill walking: A stressful task for the anterior cruciate ligament? A biomechanical study with clinical implications. Knee Surgery, Sports Traumatology, Arthroscopy, 2(1), 2–7.

    Article  CAS  PubMed  Google Scholar 

  • Leardini, A., Benedetti, M. G., Catani, F., Simoncini, L., & Giannini, S. (1999). An anatomically based protocol for the description of foot segment kinematics during gait. Clinical Biomechanics, 14(8), 528–536. https://doi.org/10.1016/S0268-0033(99)00008-X.

    Article  CAS  PubMed  Google Scholar 

  • Leardini, A., Chiari, L., Della Croce, U., & Cappozzo, A. (2005). Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation. Gait and Posture, 21(2), 212–225. https://doi.org/10.1016/j.gaitpost.2004.05.002.

    Article  PubMed  Google Scholar 

  • Leboeuf, F., Baker, R., Barré, A., Reay, J., Jones, R., & Sangeux, M. (2019a). The conventional gait model, an open-source implementation that reproduces the past but prepares for the future. Gait Posture, 69, 235–241. https://doi.org/10.1016/j.gaitpost.2019.04.015. Epub 2019 Apr 13. PMID: 31027876.

  • Leboeuf, F., Reay, J., Jones, R., & Sangeux, M. (2019b). The effect on conventional gait model kinematics and kinetics of hip joint centre equations in adult healthy gait. Journal of Biomechanics, 87, 167–171. https://doi.org/10.1016/j.jbiomech.2019.02.010.

    Article  CAS  PubMed  Google Scholar 

  • Lu, T. W., & O’Connor, J. J. (1999). Bone position estimation from skin marker co-ordinates using global optimisation with joint constraints. Journal of Biomechanics, 32(2), 129–134.

    Article  CAS  PubMed  Google Scholar 

  • McGinley, J. L., Baker, R., Wolfe, R., & Morris, M. E. (2009). The reliability of three-dimensional kinematic gait measurements: A systematic review. Gait and Posture, 29(3), 360–369. https://doi.org/10.1016/j.gaitpost.2008.09.003.

    Article  PubMed  Google Scholar 

  • Nirmaier, K. (2016). Videobasierte Ganganalyse. Skript zum Ganganalysekurs 24/25 Februar 2016. Gang Analyse Kurs, GAMMA (Gesellschaft für die AnalyseMenschlicherMotorik und ihrer klinischen Anwendung). Vienna.

    Google Scholar 

  • Perry, J. (2003). Ganganalyse. Norm und Pathologie des Gehens (G. Supplitt, Trans. 1. Aufl.). München/Jena: Urban & Fischer.

    Google Scholar 

  • Piazza, S. J., & Cavanagh, P. R. (2000). Measurement of the screw-home motion of the knee is sensitive to errors in axis alignment. Journal of Biomechanics, 33(8), 1029–1034.

    Article  CAS  PubMed  Google Scholar 

  • Rathinam, C., Bateman, A., Peirson, J., & Skinner, J. (2014). Observational gait assessment tools in paediatrics – A systematic review. Gait and Posture, 40(2), 279–285. https://doi.org/10.1016/j.gaitpost.2014.04.187.

    Article  PubMed  Google Scholar 

  • Read, H. S., Hazlewood, M. E., Hillman, S. J., Prescott, R. J., & Robb, J. E. (2003). Edinburgh visual gait score for use in cerebral palsy. Journal of Pediatric Orthopedics, 23(3), 296–301.

    Article  PubMed  Google Scholar 

  • Rose, J., & Gamble, J. G. (Hrsg.). (1994). Human walking (3. Aufl.). Baltimore: Williams & Wilkins.

    Google Scholar 

  • Rosenbaum, D. (1999). Klinische Ganganalyse in der Orthopädie und Traumatologie – Computergestützte Meßtechnik zur Bewegungs- und Belastungsmessung bei Verletzungen und Beschwerden der unteren Extremität. In J. Jerosch, K. Nicol & K. Peikenkamp (Hrsg.), Rechnergestütze Verfahren in Orthopädie und Unfallchirurgie (S. 145–158). Heidelberg: Steinkopff.

    Google Scholar 

  • Schwameder, H., Lindenhofer, E., & Muller, E. (2005). Effect of walking speed on lower extremity joint loading in graded ramp walking. Sports Biomech, 4(2), 227–243. https://doi.org/10.1080/14763140508522865.

    Article  PubMed  Google Scholar 

  • Schwartz, M. H., & Rozumalski, A. (2005). A new method for estimating joint parameters from motion data. Journal of Biomechanics, 38(1), 107–116. https://doi.org/10.1016/j.jbiomech.2004.03.009.

    Article  PubMed  Google Scholar 

  • Simon, J., Doederlein, L., McIntosh, A. S., Metaxiotis, D., Bock, H. G., & Wolf, S. I. (2006). The Heidelberg foot measurement method: Development, description and assessment. Gait and Posture, 23(4), 411–424. https://doi.org/10.1016/j.gaitpost.2005.07.003.

    Article  CAS  PubMed  Google Scholar 

  • Stebbins, J., Harrington, M., Thompson, N., Zavatsky, A., & Theologis, T. (2006). Repeatability of a model for measuring multi-segment foot kinematics in children. Gait and Posture, 23(4), 401–410. https://doi.org/10.1016/j.gaitpost.2005.03.002.

    Article  CAS  PubMed  Google Scholar 

  • Stief, F., Bohm, H., Michel, K., Schwirtz, A., & Doderlein, L. (2013). Reliability and accuracy in three-dimensional gait analysis: A comparison of two lower body protocols. Journal of Applied Biomechanics, 29(1), 105–111.

    Article  PubMed  Google Scholar 

  • Toro, B., Nester, C. J., & Farren, P. C. (2007). The development and validity of the Salford Gait Tool: An observation-based clinical gait assessment tool. Archives of Physical Medicine and Rehabilitation, 88(3), 321–327. https://doi.org/10.1016/j.apmr.2006.12.028.

    Article  PubMed  Google Scholar 

  • Trepczynski, A., Kutzner, I., Kornaropoulos, E., Taylor, W. R., Duda, G. N., Bergmann, G., & Heller, M. O. (2012). Patellofemoral joint contact forces during activities with high knee flexion. Journal of Orthopaedic Research, 30(3), 408–415. https://doi.org/10.1002/Jor.21540.

    Article  PubMed  Google Scholar 

  • Wolf, S. (2016). Instrumentelle 3D-Gangnanalyse – Einführung. Skript zum Ganganalysekurs 24/25 Februar 2016. Gang Analyse Kurs, GAMMA (Gesellschaft für die Analyse Menschlicher Motorik und ihrer klinischen Anwendung). Vienna.

    Google Scholar 

  • Wren, T. A., Gorton, G. E., 3rd, Ounpuu, S., & Tucker, C. A. (2011). Efficacy of clinical gait analysis: A systematic review. Gait and Posture, 34(2), 149–153. https://doi.org/10.1016/j.gaitpost.2011.03.027.

    Article  PubMed  Google Scholar 

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Author information

Authors and Affiliations

  1. Labor für Bewegungsanalyse, Ostschweizer Kinderspital, St. Gallen, Schweiz

    Nathalie Alexander

  2. UMIT Tirol, Psychologie und Sportmedizin, Research Unit für Sportmedizin des Bewegungsapparates und Verletzungsprävention, Innsbruck, Österreich

    Gerda Strutzenberger

  3. MOTUM Human Performance Institute, Rum, Österreich

    Gerda Strutzenberger

Authors
  1. Nathalie Alexander
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  2. Gerda Strutzenberger
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Correspondence to Nathalie Alexander .

Editor information

Editors and Affiliations

  1. TU Kaiserslautern, Kaiserslautern, Deutschland

    Arne Güllich

  2. Universität Münster, Münster, Deutschland

    Michael Krüger

Section Editor information

  1. IFFB Sport- und Bewegungswissenschaft, Universität Salzburg, Hallein/Rif, Österreich

    Hermann Schwameder

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Alexander, N., Strutzenberger, G. (2023). Biomechanik des Gehens und Ganganalyse. In: Güllich, A., Krüger, M. (eds) Bewegung, Training, Leistung und Gesundheit. Springer Spektrum, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53410-6_10

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