Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Optimizing athletic performance by influence curves.

J R Fitz-Clarke1, R H Morton, E W Banister

  • 1School of Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada.

Journal of Applied Physiology (Bethesda, Md. : 1985)
|September 1, 1991
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A reliable preloaded cycling time trial for use in conditions of significant thermal stress.

Scandinavian journal of medicine & science in sports·2015
Same author

Prediction of the amount and rate of histamine degradation by diamine oxidase (DAO).

Food chemistry·2012
Same author

Deadly diving? Physiological and behavioural management of decompression stress in diving mammals.

Proceedings. Biological sciences·2011
Same author

Growth rates and energy intake of hand-reared cheetah cubs (Acinonyx jubatus) in South Africa.

Journal of animal physiology and animal nutrition·2011
Same author

Risk of decompression sickness in extreme human breath-hold diving.

Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc·2009
Same author

Adverse events in competitive breath-hold diving.

Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc·2006

This study introduces a mathematical model to optimize athletic training and tapering strategies for peak performance. Simulation suggests current tapering methods may be too intense and brief for optimal results.

Area of Science:

  • Sports Science
  • Exercise Physiology
  • Mathematical Modeling

Background:

  • Physical training programs can be optimized using predictive modeling.
  • Determining optimal training and tapering strategies is crucial for athletic performance.
  • Current tapering protocols may not be ideal for maximizing athlete potential.

Purpose of the Study:

  • To present a mathematical technique for designing optimal physical preparation strategies.
  • To enable the prediction of athletic performance based on training.
  • To identify improved training and tapering regimens for competitive athletes.

Main Methods:

  • Utilized a mathematical technique derived from model theory.
  • Developed a model to solve the inverse problem of training prescription.

Related Experiment Videos

  • Simulated training and tapering strategies using default model parameters.

    • Main Results:

    • The model allows for the design of personalized training and tapering strategies.
    • Simulation results indicate current tapering practices may be suboptimal.
    • Accepted tapering durations and intensities might hinder peak performance.

    Conclusions:

    • A novel mathematical approach can optimize athletic preparation for specific events.
    • Current tapering strategies may require revision for enhanced athlete outcomes.
    • Further research into optimal tapering protocols is warranted based on modeling insights.