articleComputer Methods in Biomechanics & Biomedical EngineeringJul 14, 2011Closed access

One-dimensional statistical parametric mapping in Python

TCTodd C. Pataky

Shinshu University

PubMed
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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…

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Topics & keywords

Topics
Keywords
  • Python (programming language)
  • Parametric statistics
  • Scripting language
  • Kinematics
  • Computer science
  • Probabilistic logic
  • Statistical model
  • Finite element method
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