Pattern classification of kinematic and kinetic running data to distinguish gender, shod/barefoot and injury groups with feature ranking

Author： Eskofier Bjoern M. Kraus Martin Worobets Jay T. Stefanyshyn Darren J. Nigg Benno M.

Publisher： Taylor & Francis Ltd

ISSN： 1025-5842

Source： Computer Methods in Biomechanics and Biomedical Engineering, Vol.15, Iss.5, 2012-05, pp. : 467-474

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Marker-based classification of young–elderly gait pattern differences via direct PCA feature extraction and SVMs

By Eskofier Bjoern M. Federolf Peter Kugler Patrick F. Nigg Benno M.

Computer Methods in Biomechanics and Biomedical Engineering, Vol. 16, Iss. 4, 2013-04 ,pp. : 435-442

Taylor & Francis Ltd

Access to resources Recommend Favorite

The effect of shoe drop on running pattern

By Chambon N. Delattre N. Berton E. Guéguen N. Rao G.

Computer Methods in Biomechanics and Biomedical Engineering, Vol. 16, Iss. 1, 2013-07 ,pp. : 97-98

Taylor & Francis Ltd

Access to resources Recommend Favorite

What about running on Mars? Dynamical response to unweighing of the running pattern

By Sainton P. Pelletier C. Nicol C. Chavet P.

Computer Methods in Biomechanics and Biomedical Engineering, Vol. 16, Iss. 1, 2013-07 ,pp. : 78-79

Taylor & Francis Ltd

Access to resources Recommend Favorite

Kinetic data reliability

By Panayotou G. Waterfield M.

Trends in Biochemical Sciences, Vol. 22, Iss. 5, 1997-05 ,pp. : 149-149

Elsevier

Access to resources Recommend Favorite

Empirical evaluation of data transformations and ranking statistics for microarray analysis

By Qin Li-Xuan Contributing Members of the Toxicogenomics Research Consortium

Nucleic Acids Research, Vol. 32, Iss. 18, 2004-01 ,pp. : 5471-5479

Oxford University Press

Access to resources Recommend Favorite