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

Using functional data analysis to summarise and interpret lactate curves.

J Newell1, K McMillan, S Grant

  • 1Department of Mathematics, National University of Ireland, Galway, Galway, Ireland. john.newell@nuigalway.ie

Computers in Biology and Medicine
|February 1, 2006
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

Evidence for the Collective Nature of Radial Flow in Pb+Pb Collisions with the ATLAS Detector.

Physical review letters·2026
Same author

Evidence for the Dimuon Decay of the Higgs Boson in pp Collisions with the ATLAS Detector.

Physical review letters·2025
Same author

Evidence for Longitudinally Polarized W Bosons in the Electroweak Production of Same-Sign W Boson Pairs in Association with Two Jets in pp Collisions at sqrt[s]=13  TeV with the ATLAS Detector.

Physical review letters·2025
Same author

Early palliative care collaboration for paediatric patients with inherited jaw conditions-a traffic light system.

International journal of oral and maxillofacial surgery·2025
Same author

Observation of tt[over ¯] Production in Pb+Pb Collisions at sqrt[s_{NN}]=5.02  TeV with the ATLAS Detector.

Physical review letters·2025
Same author

Search for Magnetic Monopole Pair Production in Ultraperipheral Pb+Pb Collisions at sqrt[s_{NN}]=5.36  TeV with the ATLAS Detector at the LHC.

Physical review letters·2025
Same journal

Corrigendum to "Integrative adaptive indexes from noisy routine haematological markers can predict and discriminate health status and biological age" [Comput. Biol. Med. 208 (2026) 111628].

Computers in biology and medicine·2026
Same journal

Fluid dynamics-informed CCTA-derived geometric parameters in right coronary artery anomalies predict abnormal invasive Adenosine-FFR and Dobutamine-FFR.

Computers in biology and medicine·2026
Same journal

Corrigendum to "CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation" [Comput. Biol. Med. 154 (2023) 106579].

Computers in biology and medicine·2026
Same journal

ECG arrhythmia classification via wavelet-driven feature extraction and swarm-optimised gradient boosting.

Computers in biology and medicine·2026
Same journal

Electro-osmotic metachronal cilia transport of viscoelastic blood infused with penta-hybrid nanoparticles in an oviduct: Analytical and neural network modeling.

Computers in biology and medicine·2026
Same journal

sEEGnal: an automated EEG preprocessing pipeline evaluated against expert-driven preprocessing.

Computers in biology and medicine·2026
See all related articles

This study introduces functional data analysis (FDA) to explore lactate curves, revealing new endurance markers. These markers, derived from principal component analysis and second derivatives, correlate well with existing lactate curve summaries.

Area of Science:

  • Statistics
  • Sports Science
  • Biostatistics

Background:

  • Exploratory Data Analysis (EDA) provides a framework for data interpretation using graphical and numerical summaries.
  • Modern applied statistics offers advanced methods for EDA, including Functional Data Analysis (FDA).

Purpose of the Study:

  • To apply Functional Data Analysis (FDA) to explore the underlying structure of lactate curves.
  • To identify novel, intuitive endurance markers from lactate curve analysis.

Main Methods:

  • Functional Data Analysis (FDA) was employed to analyze lactate concentration data over time.
  • Principal Component Analysis (PCA) was performed on the functional data.
  • Second derivatives of the lactate curves were plotted.

Related Experiment Videos

Main Results:

  • FDA revealed underlying structures in lactate curves.
  • Principal Component Analysis (PCA) and second derivative plots yielded new endurance markers.
  • These novel markers demonstrated high correlation with established numerical summaries of lactate curves found in existing literature.

Conclusions:

  • Functional Data Analysis (FDA) is a powerful tool for exploring complex data structures like lactate curves.
  • The identified intuitive endurance markers offer a promising approach for athlete assessment.
  • This method enhances the application of EDA principles in sports science and biostatistics.