Name
Title | ||
|---|---|---|
Estimation of lactate threshold with machine learning techniques in recreational runners. |
Abstract | ||
|---|---|---|
•Individual lactate threshold estimation using recurrent neural networks.•A standardization of the temporal axis to homogenize different length time-series.•A modified stratified sampling for train-test set splitting of time-series.•The system shows good individualization and generalization power.•A non-invasive, cost efficient and accessible method to assess lactate threshold. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2017.11.036 | Applied Soft Computing |
Keywords | Field | DocType |
00-01,99-00 | Training set,Recreation,Recurrent neural network,Anaerobic exercise,Lactate threshold,Physical fitness,Artificial intelligence,Artificial neural network,Mathematics,Machine learning,Cost efficiency | Journal |
Volume | Issue | ISSN |
63 | C | 1568-4946 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Urtats Etxegarai | 1 | 0 | 0.34 |
| Eva Portillo | 2 | 18 | 6.72 |
| Jon Irazusta | 3 | 0 | 1.01 |
| Ander Arriandiaga | 4 | 14 | 3.02 |
| Itziar Cabanes | 5 | 26 | 10.64 |