Wellness Forecasting by External and Internal Workloads in Elite Soccer Players: A Machine Learning Approach.

ABSTRACT: Training for success has increasingly become a balance between maintaining high performance standards and avoiding the negative consequences of accumulated fatigue. The aim of this study is to develop a big data analytics framework to predict players' wellness according to the external and internal workloads performed in previous days. Such a framework is useful for coaches and staff to simulate the players' response to scheduled training in order to adapt the training stimulus to the players' fatigue response. 17 players competing in the Italian championship (Serie A) were recruited for this study. Players' Global Position System (GPS) data was recorded during each training and match. Moreover, every morning each player has filled in a questionnaire about their perceived wellness (WI) tha

SUBMITTER: Rossi A 

PROVIDER: S-EPMC9240643 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature