Literature DB >> 23206288

Biomechanical analysis of the herringbone technique as employed by elite cross-country skiers.

E Andersson1, T Stöggl, B Pellegrini, O Sandbakk, G Ettema, H-C Holmberg.   

Abstract

This investigation was designed to analyse the kinematics and kinetics of cross-country skiing at different velocities with the herringbone technique on a steep incline. Eleven elite male cross-country skiers performed this technique at maximal, high, and moderate velocities on a snow-covered 15° incline. They positioned their skis laterally (25 to 30°) with a slight inside tilt and planted their poles laterally (8 to 12°) with most leg thrust force exerted on the inside forefoot. Although 77% of the total propulsive force was generated by the legs, the ratio between propulsive and total force was approximately fourfold higher for the poles. The cycle rate increased with velocity (1.20 to 1.60 Hz), whereas the cycle length increased from moderate up to high velocity, but then remained the same at maximal velocity (2.0 to 2.3 m). In conclusion, with the herringbone technique, the skis were angled laterally without gliding, with the forces distributed mainly on the inside forefoot to enable grip for propulsion. The skiers utilized high cycle rates with major propulsion by the legs, highlighting the importance of high peak and rapid generation of leg forces.
© 2012 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Keywords:  cycle characteristics; cycle length; cycle rate; joint angles; kinetics; leg force; pole force; snow

Mesh:

Year:  2012        PMID: 23206288     DOI: 10.1111/sms.12026

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  7 in total

1.  Validation of Moticon's OpenGo sensor insoles during gait, jumps, balance and cross-country skiing specific imitation movements.

Authors:  Thomas Stöggl; Alex Martiner
Journal:  J Sports Sci       Date:  2016-03-24       Impact factor: 3.337

2.  Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data.

Authors:  Ole Marius Hoel Rindal; Trine M Seeberg; Johannes Tjønnås; Pål Haugnes; Øyvind Sandbakk
Journal:  Sensors (Basel)       Date:  2017-12-28       Impact factor: 3.576

Review 3.  Energy system contribution during competitive cross-country skiing.

Authors:  Thomas Losnegard
Journal:  Eur J Appl Physiol       Date:  2019-05-10       Impact factor: 3.078

4.  Propulsion Calculated by Force and Displacement of Center of Mass in Treadmill Cross-Country Skiing.

Authors:  Shuang Zhao; Olli Ohtonen; Keijo Ruotsalainen; Lauri Kettunen; Stefan Lindinger; Caroline Göpfert; Vesa Linnamo
Journal:  Sensors (Basel)       Date:  2022-04-05       Impact factor: 3.576

5.  Full course macro-kinematic analysis of a 10 km classical cross-country skiing competition.

Authors:  Finn Marsland; Colin Mackintosh; Hans-Christer Holmberg; Judith Anson; Gordon Waddington; Keith Lyons; Dale Chapman
Journal:  PLoS One       Date:  2017-08-01       Impact factor: 3.240

6.  Sex-based differences in speed, sub-technique selection, and kinematic patterns during low- and high-intensity training for classical cross-country skiing.

Authors:  Guro Strøm Solli; Jan Kocbach; Trine M Seeberg; Johannes Tjønnås; Ole Marius Hoel Rindal; Pål Haugnes; Per Øyvind Torvik; Øyvind Sandbakk
Journal:  PLoS One       Date:  2018-11-15       Impact factor: 3.240

7.  Biomechanical analysis of the "running" vs. "conventional" diagonal stride uphill techniques as performed by elite cross-country skiers.

Authors:  Barbara Pellegrini; Chiara Zoppirolli; Federico Stella; Lorenzo Bortolan; Hans-Christer Holmberg; Federico Schena
Journal:  J Sport Health Sci       Date:  2020-05-18       Impact factor: 7.179

  7 in total

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