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Propulsive Power in Cross-Country Skiing: Application and Limitations of a Novel Wearable Sensor-Based Method During Roller Skiing

Cross-country skiing is an endurance sport that requires extremely high maximal aerobic power. Due to downhill sections where the athletes can recover, skiers must also have the ability to perform repeated efforts where metabolic power substantially exceeds maximal aerobic power. Since the duration...

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Detalles Bibliográficos
Autores principales: Gløersen, Øyvind, Losnegard, Thomas, Malthe-Sørenssen, Anders, Dysthe, Dag Kristian, Gilgien, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6256136/
https://www.ncbi.nlm.nih.gov/pubmed/30524298
http://dx.doi.org/10.3389/fphys.2018.01631
Descripción
Sumario:Cross-country skiing is an endurance sport that requires extremely high maximal aerobic power. Due to downhill sections where the athletes can recover, skiers must also have the ability to perform repeated efforts where metabolic power substantially exceeds maximal aerobic power. Since the duration of these supra-aerobic efforts is often in the order of seconds, heart rate, and pulmonary VO(2) do not adequately reflect instantaneous metabolic power. Propulsive power (P(prop)) is an alternative parameter that can be used to estimate metabolic power, but the validity of such calculations during cross-country skiing has rarely been addressed. The aim of this study was therefore twofold: to develop a procedure using small non-intrusive sensors attached to the athlete for estimating P(prop) during roller-skiing and to evaluate its limits; and (2) to utilize this procedure to determine the P(prop) generated by high-level skiers during a simulated distance race. Eight elite male cross-country skiers simulated a 15 km individual distance race on roller skis using ski skating techniques on a course (13.5 km) similar to World Cup skiing courses. P(prop) was calculated using a combination of standalone and differential GNSS measurements and inertial measurement units. The method's measurement error was assessed using a Monte Carlo simulation, sampling from the most relevant sources of error. P(prop) decreased approximately linearly with skiing speed and acceleration, and was approximated by the equation [Formula: see text]) = −0.54·v −0.71 [Formula: see text] + 7.26 W·kg(−1). P(prop) was typically zero for skiing speeds >9 m·s(−1), because the athletes transitioned to the tuck position. Peak P(prop) was 8.35 ± 0.63 W·kg(−1) and was typically attained during the final lap in the last major ascent, while average P(prop) throughout the race was 3.35 ± 0.23 W·kg(−1). The measurement error of P(prop) increased with skiing speed, from 0.09 W·kg(−1) at 2.0 m·s(−1) to 0.58 W·kg(−1) at 9.0 m·s(−1). In summary, this study is the first to provide continuous measurements of P(prop) for distance skiing, as well as the first to quantify the measurement error during roller skiing using the power balance principle. Therefore, these results provide novel insight into the pacing strategies employed by high-level skiers.