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One-dimensional statistical parametric mapping in Python

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  • Todd Pataky

Abstract

Statistical parametric mapping (SPM) is a topological methodology for detecting field changes in smooth n-dimensional continua. Many classes of biomechanical data are smooth and contained within discrete bounds and as such are well suited to SPM analyses. The current paper accompanies release of ‘SPM1D’, a free and open-source Python package for conducting SPM analyses on a set of registered 1D curves. Three example applications are presented: (i) kinematics, (ii) ground reaction forces and (iii) contact pressure distribution in probabilistic finite element modelling. In addition to offering a high-level interface to a variety of common statistical tests like t tests, regression and ANOVA, SPM1D also emphasises fundamental concepts of SPM theory through stand-alone example scripts. Source code and documentation are available at: www.tpataky.net/spm1d/.

Suggested Citation

  • Todd Pataky, 2012. "One-dimensional statistical parametric mapping in Python," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 15(3), pages 295-301.
    • Handle: RePEc:taf:gcmbxx:v:15:y:2012:i:3:p:295-301
    DOI: 10.1080/10255842.2010.527837
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    Citations

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    Cited by:

    1. Bart Malfait & Bart Dingenen & Annemie Smeets & Filip Staes & Todd Pataky & Mark A Robinson & Jos Vanrenterghem & Sabine Verschueren, 2016. "Knee and Hip Joint Kinematics Predict Quadriceps and Hamstrings Neuromuscular Activation Patterns in Drop Jump Landings," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-18, April.
    2. Kane Middleton & Danielle Vickery-Howe & Ben Dascombe & Anthea Clarke & Jon Wheat & Jodie McClelland & Jace Drain, 2022. "Mechanical Differences between Men and Women during Overground Load Carriage at Self-Selected Walking Speeds," IJERPH, MDPI, vol. 19(7), pages 1-14, March.
    3. Christopher Thomas & Paul A. Jones & Thomas Dos’Santos, 2022. "Countermovement Jump Force–Time Curve Analysis between Strength-Matched Male and Female Soccer Players," IJERPH, MDPI, vol. 19(6), pages 1-10, March.
    4. Isaac Estevan & Gonzalo Monfort-Torres & Roman Farana & David Zahradnik & Daniel Jandacka & Xavier García-Massó, 2020. "Children’s Single-Leg Landing Movement Capability Analysis According to the Type of Sport Practiced," IJERPH, MDPI, vol. 17(17), pages 1-15, September.
    5. Ziemowit Bańkosz & Sławomir Winiarski, 2020. "Statistical Parametric Mapping Reveals Subtle Gender Differences in Angular Movements in Table Tennis Topspin Backhand," IJERPH, MDPI, vol. 17(19), pages 1-15, September.
    6. Alberto Galindo-Martínez & Alejandro López-Valenciano & Carlos Albaladejo-García & Juan M. Vallés-González & Jose L. L. Elvira, 2021. "Changes in the Trunk and Lower Extremity Kinematics Due to Fatigue Can Predispose to Chronic Injuries in Cycling," IJERPH, MDPI, vol. 18(7), pages 1-12, April.
    7. B. Serrien & J. Blondeel & R. Clijsen & M. Goossens & J.-P. Baeyens, 2014. "Analysis of 3D motion patterns with self-organising maps (SOM) and statistical parametric mapping (SPM): a methodological proposal," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 17(S1), pages 162-163, August.

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