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Título
How to Use Global Positioning Systems (GPS) Data to Monitor Training Load in the “Real World” of Elite Soccer
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Título de la revista
Frontiers in Physiology
Cita Bibliográfica
Ravé, G.; Granacher, U.; Hackney, A. C.; Zouhal, H.; Boullosa Álvarez, D. A. (2020). How to Use Global Positioning Systems (GPS) Data to Monitor Training Load in the “Real World” of Elite Soccer. Frontiers in Physiology, 11
Editorial
Frontiers Media
Fecha
2020
Resumen
[EN] Modern physical training in elite sport is characterized by the systematic and continuous
assessment of data on competitive and training performances (Clemente et al., 2019a). In team
sports, Global Positioning Systems (GPS) technology is probably the most used monitoring tool to
record workloads during training and competitions (Akenhead and Nassis, 2016).
In soccer, the training load (TL) has previously been defined as the input variable that is
manipulated to elicit the desired training response (Impellizzeri et al., 2019) and it can be
differentiated into external and internal loads (Jaspers et al., 2017). While external TL refers to the
overall activities of a player, internal TL encompasses the psycho-physiological stress imposed on
the player’s body (Jaspers et al., 2017). Both internal and external TLs represent the cumulative
exposure of each player to training and competitions (Jaspers et al., 2018). TL can be assessed
by means of internal and external measures (Impellizzeri et al., 2019). For internal measures,
heart rate or rating of perceived exertion have traditionally been applied (Owen et al., 2015).
For external measures, GPS data have proven to be a valid and reliable means (Nikolaidis et al.,
2018). GPS measures time motion parameters represented by the distance covered and the number
of efforts at different running velocities (e.g., up to 25.2 km/h), as well as bouts of acceleration
and deceleration throughout an activity (e.g., up to 3 m/s² or −3 m/s², respectively) at different
intensities (Akenhead and Nassis, 2016) over a few meters which are too short to reach high speed
running (Varley et al., 2017).
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