Detecting Outliers in Cardiopulmonary Exercise Testing Data of Ski Racers – A Comparison of Methods and their Effect on the Performance of Fatigue Prediction
Authors
N. Baumgartner
Salzburg Research Forschungsgesellschaft mbH, Salzburg, Austria
C. Kranzinger
Salzburg Research Forschungsgesellschaft mbH, Salzburg, Austria
S. Kranzinger
Salzburg Research Forschungsgesellschaft mbH, Salzburg, Austria
C. Snyder
Red Bull Athlete Performance Center, Thalgau, Austria
Department of Sport and Exercise Science, University of Salzburg, Austria
T. Stöggl
Red Bull Athlete Performance Center, Thalgau, Austria
Department of Sport and Exercise Science, University of Salzburg, Austria
B. Resch
Department of Geoinformatics Z_GIS, University of Salzburg, Austria
Center for Geographic Analysis, Harvard University, Cambridge MA, USA
DOI: https://doi.org/10.2478/ijcss-2023-0005 | Journal eISSN: 1684-4769
Language: English
Page range: 65 - 79
Published on: Jun 4, 2023
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Keywords:
Related subjects:
© 2023 N. Baumgartner, C. Kranzinger, S. Kranzinger, C. Snyder, T. Stöggl, B. Resch, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.