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Vector field statistical analysis of kinematic and force trajectories
http://hdl.handle.net/10091/17730
http://hdl.handle.net/10091/177305fac69e5-c5c7-4bc4-a8c0-7fbcd327b700
名前 / ファイル | ライセンス | アクション |
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Vector_field_statistical_analysis_kinematic.pdf (4.0 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2014-07-23 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Vector field statistical analysis of kinematic and force trajectories | |||||
言語 | ||||||
言語 | eng | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1016/j.jbiomech.2013.07.031 | |||||
関連名称 | 10.1016/j.jbiomech.2013.07.031 | |||||
キーワード | ||||||
主題 | Biomechanics, Random field theory, Statistical parametric mapping, Multivariate statistics | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Pataky, Todd C
× Pataky, Todd C× Robinson, Mark A× Vanrenterghem, Jos |
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出版者 | ||||||
出版者 | ELSEVIER SCI LTD | |||||
引用 | ||||||
内容記述タイプ | Other | |||||
内容記述 | JOURNAL OF BIOMECHANICS. 46(14):2394-2401 (2013) | |||||
書誌情報 |
JOURNAL OF BIOMECHANICS 巻 46, 号 14, p. 2394-2401, 発行日 2013-09-27 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | When investigating the dynamics of three-dimensional multi-body biomechanical systems it is often difficult to derive spatiotemporally directed predictions regarding experimentally induced effects. A paradigm of 'non-directed' hypothesis testing has emerged in the literature as a result. Non-directed analyses typically consist of ad hoc scalar extraction, an approach which substantially simplifies the original, highly multivariate datasets (many time points, many vector components). This paper describes a commensurately multivariate method as an alternative to scalar extraction. The method, called 'statistical parametric mapping' (SPM), uses random field theory to objectively identify field regions which co-vary significantly with the experimental design. We compared SPM to scalar extraction by re-analyzing three publicly available datasets: 3D knee kinematics, a ten-muscle force system, and 3D ground reaction forces. Scalar extraction was found to bias the analyses of all three datasets by failing to consider sufficient portions of the dataset, and/or by failing to consider covariance amongst vector components. SPM overcame both problems by conducting hypothesis testing at the (massively multivariate) vector trajectory level, with random field corrections simultaneously accounting for temporal correlation and vector covariance. While SPM has been widely demonstrated to be effective for analyzing 3D scalar fields, the current results are the first to demonstrate its effectiveness for 1D vector field analysis. It was concluded that SPM offers a generalized, statistically comprehensive solution to scalar extraction's oversimplification of vector trajectories, thereby making it useful for objectively guiding analyses of complex biomechanical systems. | |||||
資源タイプ(コンテンツの種類) | ||||||
内容記述タイプ | Other | |||||
内容記述 | Article | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0021-9290 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA00694200 | |||||
PubMed | ||||||
識別子タイプ | PMID | |||||
関連識別子 | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?CMD=search&DB=pubmed&term=23948374 | |||||
関連名称 | 23948374 | |||||
権利 | ||||||
権利情報 | Copyright© 2013 Elsevier | |||||
出版タイプ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
WoS | ||||||
表示名 | Web of Science | |||||
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