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Computer Methods in Biomechanics and Biomedical Engineering Volume 17, 2014 - Issue sup1
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Abstract

Analysis of 3D motion patterns with self-organising maps (SOM) and statistical parametric mapping (SPM): a methodological proposal

B. SerrienDepartment of Biomechanics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, BelgiumCorrespondence[email protected]
,
J. BlondeelDepartment of Biomechanics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
,
R. ClijsenDepartment of Biomechanics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium;University College Thim van der Laan, Landquart, Switzerland
,
M. GoossensUniversity College Thim van der Laan, Landquart, Switzerland;Department of Applied Engineering, University of Antwerp, Antwerp, Belgium
&
J.-P. BaeyensDepartment of Biomechanics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium;University College Thim van der Laan, Landquart, Switzerland
Pages 162-163 | Published online: 30 Jul 2014

References

  • BauerHSchöllhornW. 1997. Self-organizing maps for the analysis of complex movement patterns. Neural Process Lett. 5:193–199.
  • PatakyT. 2012. One-dimensional statistical parametric mapping in Python. Comput Methods Biomech Biomed Engin. 15:295–301.
  • SerrienBClijsenRGoossensMBaeyensJP. Differences in three-dimensional (arthro-) kinematics between male and female handball players. Sports Biomech. Under review.
  • VesantoJHimbergJAlhoniemiEParhankangasJ. 2000. SOM toolbox for MATLAB 5 (manual). Finland: Helsinki University of Technology.
  • YoungJ-LHerringSAPressJMCasazzaBA. 1996. The influence of the spine on the shoulder in the throwing athlete. J Back Musculoskelet Rehabil. 7:5–17.

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