z-logo
Premium
Cross‐country skiing movement factorization to explore relationships between skiing economy and athletes' skills
Author(s) -
Pellegrini B.,
Zoppirolli C.,
Boccia G.,
Bortolan L.,
Schena F.
Publication year - 2018
Publication title -
scandinavian journal of medicine and science in sports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.575
H-Index - 115
eISSN - 1600-0838
pISSN - 0905-7188
DOI - 10.1111/sms.12938
Subject(s) - kinematics , running economy , biomechanics , cross country , mathematics , athletes , sports biomechanics , physical medicine and rehabilitation , treadmill , elbow flexion , trunk , principal component analysis , functional movement , physical therapy , computer science , simulation , statistics , elbow , medicine , anatomy , demographic economics , physics , biology , heart rate , ecology , blood pressure , classical mechanics , radiology , vo2 max , economics
We investigated the relationships between the biomechanics of the double poling ( DP ) technique in cross‐country skiing, its economy, and athletes' skill. To this aim, skiers' motion has been factorized into components through principal component analysis ( PCA ). Eight high‐level ( HL ) and eight regional level ( RL ) male cross‐country skiers performed a 5‐minute submaximal DP trial while roller skiing on a treadmill at 14 km h −1 and 2° incline. Whole‐body kinematics was recorded with a motion capture system. PCA was applied to markers coordinates to extract principal movements ( PM k ), which were ranked by their variance. Energy cost ( EC ) of locomotion was calculated from ergospirometric measurements. Results showed that 96.7%±0.6% of total skiing pattern variance can be described with the first three PM k. (Shoulder and trunk flexion‐extension are described PM 1 and PM 2 and elbow flexion‐extension are mainly represented in PM 2 and PM 3. The variance of further components, consisting of residual movements (eg, slow postural changes or high‐frequency vibrations), was greater for the RL than the HL skiers (4.0%±0.5% vs 2.6%±0.3%; P <.001) and was positively correlated with EC ( R 2 =.646; P <.001). PCA permitted to describe the biomechanics of the DP technique through a limited set of principal movements. Skiing skills and economy appeared to be related to a skier's ability to simplify movement complexity, suggesting that an efficient skier is better able to reduce superfluous movement components during DP .

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom