| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6904157 | Applied Soft Computing | 2018 | 35 Pages |
Abstract
Therefore, in this study a machine learning based system is proposed as alternative to the traditional invasive lactate threshold measurement tests for recreational runners.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Urtats Etxegarai, Eva Portillo, Jon Irazusta, Ander Arriandiaga, Itziar Cabanes,
