Interpretation of vector coding variability measures: withinday repeatability and between-subject variation in treadmill running

Holly Abigail Stock, Cassie Wilson, Chris McLeod, Richard E. A. Van Emmerik, Ezio Preatoni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study investigated the within-day repeatability and between-subject variation of vector coding variability during treadmill running. The lower-limb kinematics of eight male triathletes running at 12 km/h were captured twice on the same day. Mean coupling angle variability across the stride cycle was computed for 20 couplings using the modified vector coding technique. Between-subject variation was calculated from the first data collection and data from both sessions were used to calculate systematic and typical error. Between-subject variation ranged from 1.4° to 3.7°. Systematic errors between sessions were observed for two couplings and typical errors were between 0.6° and 1.9°.
The between-subject variation and within-day repeatability of the measures reported will aid the interpretation of vector coding variability in cross-sectional and intervention studies.
Original languageEnglish
Title of host publicationProceedings of the 35th International Conference on Biomechanics in Sports (2017) Cologne, Germany, June 13-18, 2017
Pages1096 - 1099
Number of pages4
Volume1
Publication statusPublished - 2017
Event35th International Conference on Biomechanics in Sports - German Sport University , Cologne, Germany
Duration: 14 Jun 201718 Jun 2017
https://www.isbs2017.com/

Conference

Conference35th International Conference on Biomechanics in Sports
CountryGermany
CityCologne
Period14/06/1718/06/17
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Stock, H. A., Wilson, C., McLeod, C., Van Emmerik, R. E. A., & Preatoni, E. (2017). Interpretation of vector coding variability measures: withinday repeatability and between-subject variation in treadmill running. In Proceedings of the 35th International Conference on Biomechanics in Sports (2017) Cologne, Germany, June 13-18, 2017 (Vol. 1, pp. 1096 - 1099)