Predicting athlete workload in women's rugby sevens using GNSS sensor data, contact count and mass

(Vorhersage der Arbeitsbelastung von 7er-Rugby-Spielerinnen anhand von GNSS-Sensordaten, Kontaktzahl und Masse)

The use of session rating of perceived exertion (sRPE) as a measure of workload is a popular athlete load monitoring tool. However, the nature of sRPE means the contribution of salient, sport-specific factors to athlete load in field sports is challenging to isolate and quantify. In rugby sevens, drivers of load include high-speed running and physical contact. In soccer and men`s rugby, union acceleration/deceleration also influences load. These metrics are evaluated using data from global navigation satellite system (GNSS) sensors worn by athletes. Research suggests that sensor data methods for identifying load in men`s rugby do not accurately quantify female athlete loads. This investigation examined how mass, contact, and accelerations and decelerations at different speeds contribute to load in women`s rugby sevens. The study evaluated 99 international matches, using data from 19 full-time athletes. GNSS measures, RPE, athlete mass, and contact count were evaluated using a linear mixed-model regression. The model demonstrated significant effects for low decelerations at low and high speeds, mass, distance, and contact count explaining 48.7% of the global variance of sRPE. The use of acceleration/deceleration and speed from GNSS sensors alongside mass, as well as contact count, presents a novel approach to quantifying load.
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Bibliographische Detailangaben
Schlagworte:
Notationen:Spielsportarten Trainingswissenschaft Naturwissenschaften und Technik
Tagging:GNSS Monitoring
Veröffentlicht in:Sensors
Sprache:Englisch
Veröffentlicht: 2024
Online-Zugang:https://doi.org/10.3390/s24206699
Jahrgang:24
Heft:20
Seiten:6699
Dokumentenarten:Artikel
Level:hoch