Modelling of cycling power data and its application for anti-doping

Journal Title: Journal of Science and Cycling - Year 2016, Vol 5, Issue 2

Abstract

Since the introduction of the Athlete Biological Passport (ABP), research studies have suggested that there is risk of false-positive results due to a variety of factors that act to compromise its sensitivity to detect unusual variations in haematological parameters. Thus, the possibility of extending the ABP by proposing additional confounding variables, such as athlete performance data, is attractive.

Authors and Affiliations

James Hopker| Endurance Research Group, University of Kent, UK, Louis Passfield| Endurance Research Group, University of Kent, UK, Raphael Faiss| Research & Expertise in antiDoping Sciences, University of Lausanne, CH, Martial Saugy| Research & Expertise in antiDoping Sciences, University of Lausanne, CH

Keywords

Related Articles

Laboratory predictors of uphill cycling time trial performance

Background: A field test which can be easily integrated into the training routine of cyclists to monitor performance changes is valuable. It has been demonstrated that when performing a 20-min outdoor time trial (TT), cy...

Bike fitting: finding an optimum between performance and overuse injuries prevention? Influence of saddle fore-aft position on knee joint forces

The Union Cyclist International (UCI) regulates saddle setback - ‘ the tip of the saddle shall be a minimum of 5 cm to the rear of a vertical plane passing through the crank axis but no maximum is recommended’ - while t...

Validity of the Wahoo KICKR Power Trainer and Reliability of a 4 km Cycle Time Trial

Purpose: To assess the validity of power and the reliability of a 4 km cycle time trial (TT) using the Wahoo KICKR Power Trainer. Methods: The Wahoo KICKR power output was assessed using a dynamic calibration rig (DCR...

A new test battery to assess bike handling skills of experienced and inexperienced cyclists

Background: Bike handling skills aimed to maintain balance are important to prevent falling off the bike and/or crashing into obstacles. Past research on dynamics and control of bicycles is inconclusive on how human bala...

Effects of different training protocols on the heart rate variability of trained cyclists

Background: Studies have shown that measures of HRV can be useful for monitoring the training load in cycling. However, most of these studies are observational and have not assessed the impact of cumulative days of train...

Download PDF file
  • EP ID EP2972
  • DOI -
  • Views 426
  • Downloads 25

How To Cite

James Hopker, Louis Passfield, Raphael Faiss, Martial Saugy (2016). Modelling of cycling power data and its application for anti-doping. Journal of Science and Cycling, 5(2), 29-30. https://europub.co.uk/articles/-A-2972