Corpus ID: 55289134

Linking the performance of endurance runners to training and physiological effects via multi-resolution elastic net

  title={Linking the performance of endurance runners to training and physiological effects via multi-resolution elastic net},
  author={Ioannis Kosmidis and Louis Passfield},
  journal={arXiv: Applications},
A multiplicative effects model is introduced for the identification of the factors that are influential to the performance of highly-trained endurance runners. The model extends the established power-law relationship between performance times and distances by taking into account the effect of the physiological status of the runners, and training effects extracted from GPS records collected over the course of a year. In order to incorporate information on the runners' training into the model… Expand
Knowledge is power: Issues of measuring training and performance in cycling
The review highlights the need for new methods to be established which quantify the effects of training loads and models their implications for performance and explores the inherent complications created by its stochastic nature. Expand
trackeR : Infrastructure for Running , Cycling and Swimming Data from GPS-Enabled Tracking Devices in R
This introduction to the R package trackeR is a modified version of Frick and Kosmidis (2017), published in the Journal of Statistical Software. The majority of changes and additions in the text areExpand
trackeR: Infrastructure for Running and Cycling Data from GPS-Enabled Tracking Devices in R
The trackeR package provides methods to import tracking data into data structures which preserve units of measurement and are organized in sessions, which can be used to summarize the information from training sessions and use it in more advanced statistical analyses. Expand
Respiratory Frequency during Exercise: The Neglected Physiological Measure
The use of wearable sensor technology for athlete training monitoring is growing exponentially, but some important measures and related wearable devices have received little attention so far.Expand
A Mine of Information: Can Sports Analytics Provide Wisdom From Your Data?
  • L. Passfield, J. Hopker
  • Medicine, Psychology
  • International journal of sports physiology and performance
  • 2017
It is concluded that rigorous analysis of large data sets could enhance knowledge in the sport and exercise sciences, inform competitive strategies, and allow innovative new research and findings. Expand
Editorial: Wearable Sensor Technology for Monitoring Training Load and Health in the Athletic Population
In this editorial, Wearable Sensor Technology for Monitoring Training Load and Health in the Athletic Population is described as a "silver bullet" technology that can improve the quality of training and improve the health of the athletes. Expand


Variable dose-response relationship between exercise training and performance.
  • T. Busso
  • Medicine
  • Medicine and science in sports and exercise
  • 2003
The fit between experimental data and model-derived predictions in similar situations showed the usefulness of the proposed model to predict responses to training with varied regimens, and an inverted-U-shape relationship between daily amounts of training and performance was demonstrated. Expand
Running economy and distance running performance of highly trained athletes.
It was concluded that among highly trained and experienced runners of comparable ability and similar Vo2max, running economy accounts for a large and significant amount of the variation observed in performance on a 10 km race. Expand
Onset of blood lactate accumulation and marathon running performance.
Marathon running performance was closely related to VOBLA and to the ability to run at a pace close to that velocity during the race, which were in turn related to % ST, capillary density, and training volume. Expand
Anthropometric and training variables related to 10km running performance.
A multiple regression and discriminant function analysis indicated that linearity, total skinfold, the type and frequency of training and the number of years running were the best predictors of running performance and success at the 10km distance. Expand
Using mathematical modeling in training planning.
  • T. Busso, Luc Thomas
  • Computer Science, Medicine
  • International journal of sports physiology and performance
  • 2006
The strengths and weaknesses of the application of systems modeling to analyze the effects of training on performance are discussed and the simplifications inherent to the modeling approach are outlined to question the relevance of the models to predict athletes' responses to training. Expand
Functional linear regression that's interpretable
Regression models to relate a scalar $Y$ to a functional predictor $X(t)$ are becoming increasingly common. Work in this area has concentrated on estimating a coefficient function, $\beta(t)$, withExpand
Regularization and variable selection via the elastic net
Summary. We propose the elastic net, a new regularization and variable selection method. Real world data and a simulation study show that the elastic net often outperforms the lasso, while enjoying aExpand
Identifying the finite dimensionality of curve time series
The curve time series framework provides a convenient vehicle to accommodate some nonstationary features into a stationary setup. We propose a new method to identify the dimensionality of curve timeExpand
R: A language and environment for statistical computing.
Copyright (©) 1999–2012 R Foundation for Statistical Computing. Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission noticeExpand
An approximate law of fatigue in the speeds of racing animals