Literature DB >> 22411455

On the use of isoperformance curves for profiling and identification of training needs.

Stuart Jolly.   

Abstract

Mesh：

Year:  2012        PMID： 22411455     DOI： 10.1007/s00421-012-2369-x

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN： 1439-6319            Impact factor:   3.078


× No keyword cloud information.
  6 in total

1.  A comparison of critical velocity estimates to actual velocities in predicting simulated rowing performance.

Authors:  M D Kennedy; G J Bell
Journal:  Can J Appl Physiol       Date:  2000-08

2.  Modeling the relationship between velocity and time to fatigue in rowing.

Authors:  David W Hill; Catherine Alain; Michael D Kennedy
Journal:  Med Sci Sports Exerc       Date:  2003-12       Impact factor: 5.411

3.  The development of physiological profiles and identification of training needs in NCAA female collegiate rowers using isoperformance curves.

Authors:  David H Fukuda; Kristina L Kendall; Abbie E Smith; Teddi R Dwyer; Jeffrey R Stout
Journal:  Eur J Appl Physiol       Date:  2010-10-21       Impact factor: 3.078

4.  Isoperformance curves: an application in team selection.

Authors:  R Hugh Morton
Journal:  J Sports Sci       Date:  2009-12       Impact factor: 3.337

Review 5.  Critical power: implications for determination of V˙O2max and exercise tolerance.

Authors:  Andrew M Jones; Anni Vanhatalo; Mark Burnley; R Hugh Morton; David C Poole
Journal:  Med Sci Sports Exerc       Date:  2010-10       Impact factor: 5.411

6.  The critical power function is dependent on the duration of the predictive exercise tests chosen.

Authors:  D Bishop; D G Jenkins; A Howard
Journal:  Int J Sports Med       Date:  1998-02       Impact factor: 3.118
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.