The Use of Principal Component Analysis for Reduction in Sleep Quality and Quantity Data in Female Professional Soccer

The Use of Principal Component Analysis for Reduction in Sleep Quality and Quantity Data in Female Professional Soccer

The main aim of the present study was to uncover multivariate relationships between sleep quantity and quality using principal component analysis (PCA) in professional female soccer players. A second aim was to examine the extent to which objective sleep quantity and quality variables can discrimina...

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Bibliographic Details
Main Authors: Eider Barba, David Casamichana, Pedro Figueiredo, Fábio Yuzo Nakamura, Julen Castellano
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
multivariate analysis
sleep
smart ring
soccer
Online Access:https://www.mdpi.com/1424-8220/25/1/148
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