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Conference on Innovations in Biomedical Engineering

IBE 2018: Innovations in Biomedical Engineering pp 169–176Cite as

Three-Dimensional Adults Gait Pattern – Reference Data for Healthy Adults Aged Between 20 and 24

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 925))

Abstract

The research aimed to identify the standards of gait-related kinematic quantities and normalcy indices of the Gillette Gait Index related to adults aged between 20 and 24. In addition, it was decided to compare the standard obtained for adults with the gait standard of children. The study group consisted of 32 healthy adults aged 20 to 24. 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). Detailed analysis involved a set of sixteen variables describing gait kinematics; the above-named variables are used when creating the GGI. Within the framework of this work, a comparative statistical analysis of 16 parameters constituting the GGI was performed between the groups of adults and children. This analysis showed statistically significant differences for 9 variables. The results obtained in this work indicate that there is the necessity of using adequate gait norm for a particular age. The obtained parameter values of the GGI were also compared with results obtained by other authors. The identified trajectories of the kinematic quantities can be used as normative in relation to adult patients.

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Author information

Authors and Affiliations

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

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

  2. Students Scientific “BIOKREATYWNI”, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, Zabrze, Poland

    Dominik Kowalczykowski

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. Dominik Kowalczykowski
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Corresponding author

Correspondence to Katarzyna Jochymczyk-Woźniak .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Ewaryst Tkacz

  2. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Marek Gzik

  3. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Zbigniew Paszenda

  4. Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Zabrze, Poland

    Ewa Piętka

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Jochymczyk-Woźniak, K., Nowakowska, K., Michnik, R., Gzik, M., Kowalczykowski, D. (2019). Three-Dimensional Adults Gait Pattern – Reference Data for Healthy Adults Aged Between 20 and 24. In: Tkacz, E., Gzik, M., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering. IBE 2018. Advances in Intelligent Systems and Computing, vol 925. Springer, Cham. https://doi.org/10.1007/978-3-030-15472-1_19

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