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Three-Dimensional Children Gait Pattern – Reference Data for Healthy Children Aged Between 7 and 17

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Information Technology in Biomedicine (ITIB 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 762))

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Abstract

The research aimed to determine the standards of kinematic quantities and indices of regularity, namely the Gillette Gait Index and the Gait Deviation Index related to children aged between 7 and 17 as well as the identification of differences concerning the above-named quantities according to age and height. The study group consisted of 56 healthy children aged 7 to 17. The tests were performed using the BTS Smart system. The original applications developed in the Matlab environment for all of the children subjected to the tests enabled the identification of the Gillette Gait Index (GGI) and the Gait Deviation Index (GDI). Detailed analysis involved a set of sixteen variables describing gait kinematics; the above-named variables are used when creating the GGI. The children were divided into five groups in relation to age and six groups in relation to height. Time values of the angles of the joints were registered and then the GGI and the GDI were calculated. Sixteen parameters composing the GGI were determined for all of the children constituting the test group. The confirmation or the exclusion of differences between age-related and height-related groups was based on statistical analysis. The identified courses of the kinematic time series can be used as normative in relation to patients aged 7–17.

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References

  1. Assi, A., Ghanem, I., Lavaste, F., Skalli, W.: Gait analysis in children and uncertainty assessment for Davis protocol and Gillette Gait Index. Gait Posture 30(1), 22–26 (2009)

    Article  Google Scholar 

  2. Baker, R., McGinley, J.L., Schwartz, M.H., Beynon, S., Rozumalski, A., Graham, H.K., Tirosh, O.: The gait profile score and movement analysis profile. Gait Posture 30(3), 265–269 (2009)

    Article  Google Scholar 

  3. Cretual, A., Bervet, K., Ballaz, L.: Gillette Gait Index in adults. Gait Posture 32(3), 307–310 (2010)

    Article  Google Scholar 

  4. Bober, T., Dziuba, A., Kobel-Buys, K., Kulig, K.: Gait characteristics following Achilles tendon elongation the foot rocker perspective. Acta Bioeng. Biomech. 10(1), 37–42 (2008)

    Google Scholar 

  5. Dusing, S., Thorpe, D.: A normative sample of temporal and spatial gait parameters in children using the GAITRite electronic walkay. Gait Posture 25(1), 135–139 (2007)

    Article  Google Scholar 

  6. Ganley, K.J., Powers, C.M.: Gait kinematics and kinetics of 7-year-old children: a comparison to adults using age-specific anthropometric data. Gait Posture 21(2), 141–145 (2005)

    Article  Google Scholar 

  7. Hillman, S.J., Stansfield, B.W., Richardson, A.M., Robb, J.E.: Development of temporal and distance parameters of gait in normal children. Gait Posture 29(1), 81–85 (2009)

    Article  Google Scholar 

  8. Holm, I., Teter, A.T., Fredriksen, P.M., Vollestad, N.: A normative sample of gait and hopping on one leg parameters in children 7–12 years of age. Gait Posture 29(2), 317–321 (2009)

    Article  Google Scholar 

  9. Jurkojć, J., Michnik, R., Guzik-Kopyto, A., Gzik, M., Rycerski, W.: Kinematic differences in gait obtained for people with right and left paresis. In: Piętka, E., Kawa, J. (eds.) Information Technologies in Biomedicine, Lecture Notes in Bioinformatics, vol. 7339, pp. 464–471 (2012)

    Chapter  Google Scholar 

  10. Michnik, R., Jochymczyk-Woźniak, K., Kopyta, I. (eds.): Use of engineering methods in gait analysis of children with cerebral palsy. Wyd. Politechniki Śląskiej, 98–15 (2016). (in Polish). ISBN 978-83-7880-398-0

    Google Scholar 

  11. Michnik, R., Nowakowska, K., Jurkojć, J., Jochymczyk-Woźniak, K., Kopyta, I.: Motor functions assessment method based on energy changes in gait cycle. Acta Bioeng. Biomech. 19(4), 63–75 (2017)

    Google Scholar 

  12. Molloy, A., McDowell, B.C., Kerr, C., Cosgrove, A.P.: Further evidence of validity of the Gait Deviation Index. Gait Posture 31(4), 479–482 (2010)

    Article  Google Scholar 

  13. Nowakowska, K., Michnik, R., Jochymczyk-Woźniak, K., Jurkojć, J., Mandera, M., Kopyta, I.: Application of gait index assessment to monitor the treatment progress in patients with cerebral palsy. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds.) Information Technologies in Medicine 5th International Conference. Advances in Intelligent System and Computing, vol. 472, pp. 75–85. Springer, Cham (2016)

    Google Scholar 

  14. Nowakowska, K., Michnik, R., Jochymczyk-Wońiak, K., Jurkojć, J., Kopyta, I.: Evaluation of locomotor function in patients with CP based on muscle length changes. In: Gzik, M., Tkacz, E., Paszenda, Z., Pietka, E. (eds.) Innovation in Biomedical Engineering. Advances in Intelligent System and Computing, vol. 526, pp. 161–168. Springer, Cham (2017)

    Google Scholar 

  15. Pierce, R., Orendurff, M., Sienko, T.S.: Gait parameters norms for children ages 6–14. Gait Posture 16(Suppl. 1), 53–54 (2002)

    Google Scholar 

  16. Pietraszewski, B., Winiarski, S., Jaroszczuk, S.: Three-dimensional human gait pattern - reference data for normal men. Acta Bioeng. Biomech. 14(3), 9–16 (2002)

    Google Scholar 

  17. Pinzone, O., Schwartz, M.H., Thomason, P., Baker, R.: The comparison of normative reference data from different gait. Gait Posture 40(2), 286–290 (2014)

    Article  Google Scholar 

  18. Romei, R., Galli, M., Motta, F., Schwartz, M., Crivellini, M.: Use of the normalcy index for the evaluation of gait pathology. Gait Posture 19(1), 85–90 (2004)

    Article  Google Scholar 

  19. Schutte, L.M., Narayanan, U., Stout, J.L., Selber, P., Gage, J.R., Schwartz, M.H.: An index for quantifying deviations from normal gait. Gait Posture 11(1), 25–31 (2000)

    Article  Google Scholar 

  20. Schwartz, M., Rozumalski, A.: The gait deviation index: a new comprehensive index of gait pathology. Gait Posture 28(3), 351–357 (2008)

    Article  Google Scholar 

  21. Stansfield, B.W., Hillman, S.J., Hazlewood, M.E., Robb, J.E.: Regression analysis of gait parameters with speed in normal children walking at self-selected speeds. Gait Posture 23(3), 288–294 (2006)

    Article  Google Scholar 

  22. Steinwender, G., Saraph, V., Scheiber, S., Zwick, E.B., Witz, C., Hackl, K.: Intrasubject repeatability of gait analysis data in normal and spastic. Child. Clin. Biomech. 15(2), 134–139 (2000)

    Article  Google Scholar 

  23. Syczewska, M.: Rehabilitation diagnostics of child’s motor system. Standardy Medyczne 5(9), 1254–1264 (2003). (in Polish)

    Google Scholar 

  24. Webber, J.T., Raichlen, D.A.: The role of plantigrady and heel-strike in the mechanics and energetics of human walking with implications for the evolution of the human foot. J. Exp. Biol. 219, 3729–3737 (2016)

    Article  Google Scholar 

  25. Winiarski, S., Czamara, A.: Evaluation of gait kinematics and symmetry during the first two stages of physiotherapy after anterior cruciate ligament reconstruction. Acta Bioeng. Biomech. 14(2), 91–100 (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Biomedical Engineering, Department of Biomechatronics, Silesian University of Technology, Roosevelta 40, Zabrze, Poland

    Katarzyna Jochymczyk-Woźniak, Katarzyna Nowakowska, Robert Michnik, Marek Gzik & Piotr Wodarski

  2. Faculty of Physical Education, Sport and Rehabilitation, Department of Theory and Methodology of Sport, Poznań University of Physical Education, Poznań, Poland

    Joanna Gorwa

  3. The Katowice Institute of Information Technologies, Katowice, Poland

    Piotr Janoska

Authors
  1. Katarzyna Jochymczyk-Woźniak
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  2. Katarzyna Nowakowska
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  3. Robert Michnik
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  4. Marek Gzik
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  5. Piotr Wodarski
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  6. Joanna Gorwa
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  7. Piotr Janoska
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Corresponding author

Correspondence to Katarzyna Jochymczyk-Woźniak .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Wojciech Wieclawek

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Jochymczyk-Woźniak, K. et al. (2019). Three-Dimensional Children Gait Pattern – Reference Data for Healthy Children Aged Between 7 and 17. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2018. Advances in Intelligent Systems and Computing, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-91211-0_52

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