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      One-dimensional statistical parametric mapping in Python.

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      Computer methods in biomechanics and biomedical engineering

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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 emphasises fundamental concepts of SPM theory through stand-alone example scripts. Source code and documentation are available at: www.tpataky.net/spm1d/.

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          Author and article information

          Journal
          Comput Methods Biomech Biomed Engin
          Computer methods in biomechanics and biomedical engineering
          1476-8259
          1025-5842
          2012
          : 15
          : 3
          Affiliations
          [1 ] Department of Bioengineering, Shinshu University, Tokida 3-15-1, Ueda, Nagano, Japan. tpataky@shinshu-u.ac.jp
          Article
          10.1080/10255842.2010.527837
          21756121
          9552ce46-dcdb-435d-bf23-6e06f50f3777
          History

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