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Innovations in Biomedical Engineering pp 106–114Cite as

Inertial Sensors and Wavelets Analysis as a Tool for Pathological Gait Identification

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 526))

Abstract

The human gait analysis by using wavelets transform of signal obtained from six inertial ProMove mini sensors is proposed in this work. The angular velocity data measured by the gyro sensors were used to estimate the translational acceleration in the gait analysis. As a result, the flexion - extension of joint angles of the knees were calculated for healthy people and with impaired locomotion system. After measurements we propose to use one of wavelet transform (wavelet type) in order to analyze the signals, indicate a characteristic feature and compare them.

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References

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Author information

Authors and Affiliations

  1. Technical University of Koszalin, Sniadeckich 2, 75-453, Koszalin, Poland

    Sebastian Glowinski, Andrzej Blazejewski & Tomasz Krzyzynski

Authors
  1. Sebastian Glowinski
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  2. Andrzej Blazejewski
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  3. Tomasz Krzyzynski
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Corresponding author

Correspondence to Sebastian Glowinski .

Editor information

Editors and Affiliations

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

    Marek Gzik

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

    Ewaryst Tkacz

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

    Zbigniew Paszenda

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

    Ewa Piętka

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Glowinski, S., Blazejewski, A., Krzyzynski, T. (2017). Inertial Sensors and Wavelets Analysis as a Tool for Pathological Gait Identification. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering. Advances in Intelligent Systems and Computing, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-319-47154-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-47154-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47153-2

  • Online ISBN: 978-3-319-47154-9

  • eBook Packages: EngineeringEngineering (R0)

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