A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners

Author:

Etxegarai UrtatsORCID,Portillo Eva,Irazusta Jon,Koefoed Lucien,Kasabov Nikola

Funder

University of the Basque Country

PANTHER (Pacific Atlantic Network for Technical Higher Education and Research)

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference17 articles.

1. Learning from data: A short course;Abu-Mostafa,2012

2. When systems engineering fails – Toward complex systems engineering;Bar-yam;Exchange,2003

3. Wearable lactate threshold predicting device is valid and reliable in runners;Borges;Journal of Strength and Conditioning Research,2016

4. On over-fitting in model selection and subsequent selection bias in performance evaluation;Cawley;Journal of Machine Learning Research,2010

5. Non-invasive detection of the anaerobic threshold by a neural network model of the heart ratework rate relationship;Erdogan;Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology,2009

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Blood Microsampling to Monitor Metabolic Profiles During Physical Exercise;Frontiers in Molecular Biosciences;2021-05-27

2. Newer Perspectives in Lactate Threshold Estimation for Endurance Sports – A Mini-Review;Central European Journal of Sport Sciences and Medicine;2021

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