Peer-Reviewed Journal Details
Mandatory Fields
Newell, J., McMillan, K., Grant, S., McCabe, G.
2006
March
Computers In Biology And Medicine
Using Functional Data Anaysis to Summarise and Interpret Lactate Curves
Published
()
Optional Fields
exploratory data analysis functional data analysis lactate curves D(2)Lmax functional principal components DISTANCE-RUNNING PERFORMANCE ANAEROBIC THRESHOLD CYCLING PERFORMANCE EXERCISE PARAMETERS MUSCLE ACCUMULATION VALIDATION GLYCOGEN
36
3
262
275
John Tukey [1] used the term exploratory data analysis (EDA) to describe a philosophy for analyzing data where graphical and numerical summaries are used to uncover interesting structures. The applied statistician today has a much more sophisticated set of methods to use when applying the EDA philosophy. One such collection of methods is functional data analysis (FDA), which was used to explore the structure of lactate curves. A principal components analysis and plots of the second derivatives provide new intuitive endurance markers which correlates highly with other numerical summaries of lactate curves that have been suggested in the literature. (C) 2005 Elsevier Ltd. All rights reserved.
DOI 10.1016/j.compbiomed.2004.11.006
Grant Details
Publication Themes