Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/118174| Title: | Enhancing endurance performance predictions : the role of movement velocity in metabolic simulations demonstrated by cycling cadence |
| Author(s): | Dunst, Anna Katharina Hesse, Clemens Ueberschär, Olaf |
| Issue Date: | 2025-02-04 |
| Type: | Artikel |
| Language: | English |
| Publisher: | SpringerNature, Berlin |
| Subjects: | performance prediction movement |
| Abstract: | Mader’s mathematical model, widely employed for endurance performance prediction, aims to accurately represent metabolic response to exercise. However, it traditionally overlooks dynamic changes in metabolic processes at varying movement velocities. |
| URI: | https://opendata.uni-halle.de//handle/1981185920/120133 http://dx.doi.org/10.25673/118174 |
| Open Access: |  Open access publication |
| License: |  (CC BY 4.0) Creative Commons Attribution 4.0 |
| Sponsor/Funder: | DEAL SpringerNature |
| Appears in Collections: | Fachbereich Ingenieurwissenschaften und Industriedesign |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s00421-024-05663-4.pdf | Zweitveröffentlichung | 3.16 MB | Adobe PDF |  View/Open |