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The case for adopting a multivariate approach to optimize training load quantification in team sports

Weaving, Dan; Jones, Ben; Till, Kevin; Abt, Grant; Beggs, Clive

Authors

Dan Weaving

Ben Jones

Kevin Till

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Dr Grant Abt G.Abt@hull.ac.uk
Reader in Sport and Exercise Physiology and Head of Department for Sport, Health and Exercise Science

Clive Beggs

Publication Date Dec 12, 2017
Journal Frontiers in physiology
Electronic ISSN 1664-042X
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 8
Issue DEC
Article Number 1024
Institution Citation Weaving, D., Jones, B., Till, K., Abt, G., & Beggs, C. (2017). The case for adopting a multivariate approach to optimize training load quantification in team sports. Frontiers in Physiology, 8(DEC), https://doi.org/10.3389/fphys.2017.01024
DOI https://doi.org/10.3389/fphys.2017.01024
Keywords Multivariate analysis; Global Positioning Systems (GPS); External training load; Training; Heart rate; Session rating of perceived exertion; Training impulse; Reductionism; Performance monitoring; Orthogonal analysis
Copyright Statement © 2017 Weaving, Jones, Till, Abt and Beggs. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Copyright Statement
© 2017 Weaving, Jones, Till, Abt and Beggs. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.



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