Optimisation of a machine learning algorithm in human locomotion using principal component and discriminant function analyses

Assessment methods in human locomotion often involve the description of normalised graphical profiles and/or the extraction of discrete variables. Whilst useful, these approaches may not represent the full complexity of gait data. Multivariate statistical methods, such as Principal Component Analysi...

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Detalles Bibliográficos
Autores principales: Bisele, Maria, Bencsik, Martin, Lewis, Martin G. C., Barnett, Cleveland T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590884/
https://www.ncbi.nlm.nih.gov/pubmed/28886059
http://dx.doi.org/10.1371/journal.pone.0183990

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590884/
https://www.ncbi.nlm.nih.gov/pubmed/28886059
http://dx.doi.org/10.1371/journal.pone.0183990

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