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footPress: An Open-Source MATLAB Toolbox for Analysis of Pedobarography Data

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Converging Clinical and Engineering Research on Neurorehabilitation III (ICNR 2018)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 21))

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Abstract

Pedobarographic data is valuable in understanding locomotor function in both research and clinical settings. However, commercially available software do not enable easy customisation of data processing and presentation. We have developed a toolbox for processing plantar pressure data using the cross-platform MATLAB programming language. The main features of the toolbox include data visualisation, sensor masking, time series, center of pressure and multi-segment analysis along with report generation. The toolbox can be used with an intuitive graphical user interface (GUI) without working with the underlying code. However, a functional approach to code implementation ensures that the toolbox can be used as a set of independent functions and new functions can easily be added. The code of the toolbox is open-source under the MIT License and available online at https://github.com/GallVp/footPress.

This research was funded by Auckland University of Technology and REX Bionics Ltd.

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References

  1. Skopljak, A., Muftic, M., Sukalo, A., Masic, I., Zunic, L.: Pedobarography in diagnosis and clinical application. Acta Informatica Med. 22(6), 374 (2014)

    Article  Google Scholar 

  2. ScienceDirect Pedobarography, an overview (2018). https://www.sciencedirect.com/topics/medicine-and-dentistry/pedobarography

  3. Orlin, M.N., McPoil, T.G.: Plantar pressure assessment. Phys. Ther. 80(4), 399–409 (2000)

    Article  Google Scholar 

  4. Valentini, F., Granger, B., Hennebelle, D., Eythrib, N., Robain, G.: Repeatability and variability of baropodometric and spatio-temporal gait parameters-results in healthy subjects and in stroke patients. Neurophysiol. Clin./Clin. Neurophysiol. 41(4), 181–189 (2011)

    Article  Google Scholar 

  5. Winter, D.A.: Biomechanics and Motor Control of Human Movement. Wiley, Hoboken (2009)

    Book  Google Scholar 

  6. Chevalier, T.L., Hodgins, H., Chockalingam, N.: Plantar pressure measurements using an in-shoe system and a pressure platform: a comparison. Gait Posture 31(3), 397–399 (2010)

    Article  Google Scholar 

  7. Abdul Razak, A.H., Zayegh, A., Begg, R.K., Wahab, Y.: Foot plantar pressure measurement system: a review. Sensors 12(7), 9884–9912 (2012)

    Article  Google Scholar 

  8. Shu, L., Hua, T., Wang, Y., Li, Q., Feng, D.D., Tao, X.: In-shoe plantar pressure measurement and analysis system based on fabric pressure sensing array. IEEE Trans. Inf. Technol. Biomed. 14(3), 767–775 (2010)

    Article  Google Scholar 

  9. Pataky, T.C., Caravaggi, P., Savage, R., Parker, D., Goulermas, J.Y., Sellers, W.I., Crompton, R.H.: New insights into the plantar pressure correlates of walking speed using pedobarographic statistical parametric mapping (pSPM). J. Biomech. 41(9), 1987–1994 (2008)

    Article  Google Scholar 

  10. Melai, T., IJzerman, T.H., Schaper, N.C., de Lange, T.L., Willems, P.J., Meijer, K., Lieverse, A.G., Savelberg, H.H.: Calculation of plantar pressure time integral, an alternative approach. Gait Posture 34(3), 379–383 (2011)

    Article  Google Scholar 

  11. Sawacha, Z., Guarneri, G., Cristoferi, G., Guiotto, A., Avogaro, A., Cobelli, C.: Integrated kinematics-kinetics-plantar pressure data analysis: a useful tool for characterizing diabetic foot biomechanics. Gait Posture 36(1), 20–26 (2012)

    Article  Google Scholar 

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Acknowledgement

We would like to acknowledge the work of Jessica Fraser, Jessica Williams and Bex Brand from the Faculty of Health and Environmental Sciences, Auckland University of Technology(AUT) in testing the toolbox.

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Authors and Affiliations

  1. Faculty of Health and Environmental Sciences, Health and Rehabilitation Research Institute, Auckland University of Technology (AUT), Auckland, New Zealand

    Usman Rashid, Nada Signal, Imran Khan Niazi & Denise Taylor

Authors
  1. Usman Rashid
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  2. Nada Signal
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  3. Imran Khan Niazi
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  4. Denise Taylor
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Corresponding author

Correspondence to Usman Rashid .

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Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Lorenzo Masia

  2. Scuola Superiore Sant’Anna, Translational Neural Engineering Area, The BioRobotics Institute, Pisa, Italy

    Silvestro Micera

  3. Department of Biomedical Engineering, University of Houston, Cullen College of Engineering, Houston, TX, USA

    Metin Akay

  4. Spanish National Research Council (CSIC), Cajal Institute, Madrid, Spain

    José L. Pons

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Rashid, U., Signal, N., Niazi, I.K., Taylor, D. (2019). footPress: An Open-Source MATLAB Toolbox for Analysis of Pedobarography Data. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_72

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  • DOI: https://doi.org/10.1007/978-3-030-01845-0_72

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01844-3

  • Online ISBN: 978-3-030-01845-0

  • eBook Packages: EngineeringEngineering (R0)

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