Project Publications

Etxegarai, U., Portillo, E., Irazusta, J., Koefoed, L., Kasabov, N. A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners, European Journal of Operational Research, vol. 291, No. 2, pp. 427-437, 2021. JCR Impact Factor: 6.363 (2021). Quartile: 1. https://doi.org/10.1016/j.ejor.2019.08.023
Etxegarai, U., Portillo, E., Irazusta, J., Cabanes, I., Zubizarreta, A. Aplicación de técnicas de agrupamiento a corredores de resistencia para la estimación del umbral de lactato, Proceedings of the XL Jornadas de Automática, Ferrol, A Coruña., 2019. ISBN: 978-84-9749-716-9. Best Conference Paper Award in Bioengineering. https://doi.org/10.17979/spudc.9788497497169
Etxegarai, U., Portillo, E., Irazusta, J., Arriandiaga, A., Cabanes, I. Estimation of lactate threshold with machine learning techniques in recreational runners, Applied Soft Computing, vol. 63, pp. 181-196, 2018. JCR Impact Factor: 4.873 (2018). Quartile: Q1. https://doi.org/10.1016/j.asoc.2017.11.036
Etxegarai, U., Portillo, E., Irazusta, J., Cabanes, I. An accessible lactate threshold assessment tool to support endurance athletes' trainings, 29th European Conference on Operational Research (EURO 2018), Valencia, 2018. https://www.euro-online.org/conf/euro29/treat_abstract?paperid=2068
Etxegarai, U., Insunza, A., Santos-Concejero, J., Gil, S.M., Portillo, E., Irazusta, J. Prediction of performance by heart rate-derived parameters in recreational runners, Journal of Sports Sciences, vol. 36, No. 18, pp. 2129-2137, 2018. JCR Impact Factor: 2.811 (2018). Quartile: 1. https://doi.org/10.1080/02640414.2018.1442185
Etxegarai, U., Portillo, E., Cabanes, I., Irazusta, J. Estimation of lactate threshold using machine learning techniques, 22nd ECSS Congress, MetropolisRuhr, Alemania, 2017. http://wp1191596.server-he.de/DATA/CONGRESSES/METROPOLIS_2017/DOCUMENTS/METROPOLIS_BoA.pdf
Etxegarai, U., Portillo, E., Irazusta, J., Cabanes, I. Estimación del Umbral de Lactato mediante Técnicas de Aprendizaje Automático, XXXV Congreso Anual de la Sociedad Española de Ingenierí­a Biomédica (CASEIB2017), Bilbao, 2017.
Irazusta, J., Etxegarai, U., Insunza, A., Santos-Concejero, J., Portillo, E., Gil, S.M. Prediction of performance by heart rate-derived parameters in recreational runners, 22nd ECSS Congress, MetropolisRuhr, Alemania, 2017. http://wp1191596.server-he.de/DATA/CONGRESSES/METROPOLIS_2017/DOCUMENTS/METROPOLIS_BoA.pdf
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