2012年
One-dimensional statistical parametric mapping in Python
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
- 巻
- 15
- 号
- 3
- 開始ページ
- 295
- 終了ページ
- 301
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1080/10255842.2010.527837
- 出版者・発行元
- TAYLOR & FRANCIS LTD
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/.
- リンク情報
- ID情報
-
- DOI : 10.1080/10255842.2010.527837
- ISSN : 1025-5842
- Web of Science ID : WOS:000301596800009