What is the best fitting function? Evaluation of lactate curves with common methods from the literature

(Was ist die beste Anpassungsfunktion? Bewertung von Laktatkurven mittels bekannter Methoden aus der Literatur)

Using the lactate threshold for training prescription is the gold-standard, although there are several open questions. One open question is: What is the best fitting method for the load-lactate data points? This investigation re-analyses over 3500 lactate diagnostic datasets in swimming. Our evaluation software examines six different fitting methods with two different minimization criteria (RMSE and SE). Optimization of parameters of the functions is put in excecution with gradient descent. Prom a mathematical point of view, the double phase model, which consists of two linear regression lines, shows the least errors (RMSEmin 0.254 ± 0.172; SEmin 0.311 ± 0.210). However, this method cannot be used for every further determination of lactate thresholds. Some threshold determination models need a single curve. In these cases, the exponential function shows the least errors (RMSEmin 0.846 ± 0.488; SEmin 1.196 ± 0.689). This confirms the default fitting method used in practice.
© Copyright 2016 Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS). Veröffentlicht von Springer. Alle Rechte vorbehalten.

Bibliographische Detailangaben
Schlagworte:
Notationen:Biowissenschaften und Sportmedizin Naturwissenschaften und Technik
Veröffentlicht in:Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS)
Sprache:Englisch
Veröffentlicht: Cham Springer 2016
Schriftenreihe:Advances in Intelligent Systems and Computing, 392
Seiten:185-192
Dokumentenarten:Artikel
Level:hoch