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A Simulation of Cross-country Skiing on Varying Terrain by Using a Mathematical Power Balance Model

Overview
Publisher Dove Medical Press
Specialty Orthopedics
Date 2014 Jan 1
PMID 24379718
Citations 5
Authors
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Abstract

The current study simulated cross-country skiing on varying terrain by using a power balance model. By applying the hypothetical inductive deductive method, we compared the simulated position along the track with actual skiing on snow, and calculated the theoretical effect of friction and air drag on skiing performance. As input values in the model, air drag and friction were estimated from the literature, whereas the model included relationships between heart rate, metabolic rate, and work rate based on the treadmill roller-ski testing of an elite cross-country skier. We verified this procedure by testing four models of metabolic rate against experimental data on the treadmill. The experimental data corresponded well with the simulations, with the best fit when work rate was increased on uphill and decreased on downhill terrain. The simulations predicted that skiing time increases by 3%-4% when either friction or air drag increases by 10%. In conclusion, the power balance model was found to be a useful tool for predicting how various factors influence racing performance in cross-country skiing.

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References
1.
Holmberg H, Rosdahl H, Svedenhag J . Lung function, arterial saturation and oxygen uptake in elite cross country skiers: influence of exercise mode. Scand J Med Sci Sports. 2006; 17(4):437-44. DOI: 10.1111/j.1600-0838.2006.00592.x. View

2.
Carlsson P, Tinnsten M, Ainegren M . Numerical simulation of cross-country skiing. Comput Methods Biomech Biomed Engin. 2011; 14(8):741-6. DOI: 10.1080/10255842.2010.493885. View

3.
Bilodeau B, Boulay M, Roy B . Propulsive and gliding phases in four cross-country skiing techniques. Med Sci Sports Exerc. 1992; 24(8):917-25. View

4.
Mognoni P, Rossi G, Gastaldelli F, Canclini A, Cotelli F . Heart rate profiles and energy cost of locomotion during cross-country skiing races. Eur J Appl Physiol. 2001; 85(1-2):62-7. DOI: 10.1007/s004210100432. View

5.
Sandbakk O, Ettema G, Leirdal S, Jakobsen V, Holmberg H . Analysis of a sprint ski race and associated laboratory determinants of world-class performance. Eur J Appl Physiol. 2010; 111(6):947-57. PMC: 3092926. DOI: 10.1007/s00421-010-1719-9. View