Literature DB >> 25993621

Correction: Characterization of course and terrain and their effect on skier speed in world cup alpine ski racing.

Matthias Gilgien, Philip Crivelli, Jörg Spörri, Josef Kröll, Erich Müller.   

Abstract

Entities:  

Year:  2015        PMID: 25993621      PMCID: PMC4439116          DOI: 10.1371/journal.pone.0128899

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


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There is an error in Fig 4. The angles are incorrectly labeled. Please see the corrected Fig 4 here.
Fig 4

Illustration of the parameters describing the relationship between terrain and course setting: Terrain inclination in course direction (α), Angle between course direction and the gradient (β) and terrain inclination normal to course direction (γ).

There is an error in the caption for Fig 16. Please see the complete, correct Fig 16 caption here.
Fig 16

A scatterplot showing the terrain inclination versus skier speed for 1051 turns (GS: 572, SG: 210, DH: 271).

The GS data is plotted in red, the SG data is plotted in green and the DH data is plotted in blue. The black line shows a linear regression model for the data of all disciplines.

A scatterplot showing the terrain inclination versus skier speed for 1051 turns (GS: 572, SG: 210, DH: 271).

The GS data is plotted in red, the SG data is plotted in green and the DH data is plotted in blue. The black line shows a linear regression model for the data of all disciplines. There is an error in the caption for Fig 17. Please see the complete, correct Fig 17 caption here.
Fig 17

A scatterplot showing the horizontal gate distance versus skier speed for 1051 turns (GS: 572, SG: 210, DH: 271).

The GS data is plotted in red, the SG data is plotted in green and the DH data is plotted in blue. The black line shows a linear regression model for the data of all disciplines.

A scatterplot showing the horizontal gate distance versus skier speed for 1051 turns (GS: 572, SG: 210, DH: 271).

The GS data is plotted in red, the SG data is plotted in green and the DH data is plotted in blue. The black line shows a linear regression model for the data of all disciplines. There is an error in the caption for Fig 18. Please see the complete, correct Fig 18 caption here.
Fig 18

A scatterplot showing gate distance versus skier speed for 1051 turns (GS: 572, SG: 210, DH: 271).

The GS data is plotted in red, the SG data is plotted in green and the DH data is plotted in blue. The black line shows a linear regression model for the data of all disciplines.

A scatterplot showing gate distance versus skier speed for 1051 turns (GS: 572, SG: 210, DH: 271).

The GS data is plotted in red, the SG data is plotted in green and the DH data is plotted in blue. The black line shows a linear regression model for the data of all disciplines.
  1 in total

1.  Characterization of course and terrain and their effect on skier speed in World Cup alpine ski racing.

Authors:  Matthias Gilgien; Philip Crivelli; Jörg Spörri; Josef Kröll; Erich Müller
Journal:  PLoS One       Date:  2015-03-11       Impact factor: 3.240

  1 in total
  7 in total

Review 1.  How to Prevent Injuries in Alpine Ski Racing: What Do We Know and Where Do We Go from Here?

Authors:  Jörg Spörri; Josef Kröll; Matthias Gilgien; Erich Müller
Journal:  Sports Med       Date:  2017-04       Impact factor: 11.136

2.  A New Training Assessment Method for Alpine Ski Racing: Estimating Center of Mass Trajectory by Fusing Inertial Sensors With Periodically Available Position Anchor Points.

Authors:  Benedikt Fasel; Matthias Gilgien; Jörg Spörri; Kamiar Aminian
Journal:  Front Physiol       Date:  2018-08-30       Impact factor: 4.566

3.  Effect of ski geometry and standing height on kinetic energy: equipment designed to reduce risk of severe traumatic injuries in alpine downhill ski racing.

Authors:  Matthias Gilgien; Jörg Spörri; Josef Kröll; Erich Müller
Journal:  Br J Sports Med       Date:  2016-01       Impact factor: 13.800

4.  Sidecut radius and kinetic energy: equipment designed to reduce risk of severe traumatic knee injuries in alpine giant slalom ski racing.

Authors:  Josef Kröll; Jörg Spörri; Matthias Gilgien; Hermann Schwameder; Erich Müller
Journal:  Br J Sports Med       Date:  2016-01       Impact factor: 13.800

5.  Effect of ski geometry on aggressive ski behaviour and visual aesthetics: equipment designed to reduce risk of severe traumatic knee injuries in alpine giant slalom ski racing.

Authors:  Josef Kröll; Jörg Spörri; Matthias Gilgien; Hermann Schwameder; Erich Müller
Journal:  Br J Sports Med       Date:  2015-11-24       Impact factor: 13.800

6.  Application of dGNSS in Alpine Ski Racing: Basis for Evaluating Physical Demands and Safety.

Authors:  Matthias Gilgien; Josef Kröll; Jörg Spörri; Philip Crivelli; Erich Müller
Journal:  Front Physiol       Date:  2018-03-06       Impact factor: 4.566

7.  Performance Parameters in Competitive Alpine Skiing Disciplines of Slalom, Giant Slalom and Super-Giant Slalom.

Authors:  Lidia B Alejo; Jaime Gil-Cabrera; Almudena Montalvo-Pérez; David Barranco-Gil; Jaime Hortal-Fondón; Archit Navandar
Journal:  Int J Environ Res Public Health       Date:  2021-03-05       Impact factor: 3.390

  7 in total

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