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Determination of the athletes' anaerobic threshold using machine learning methods

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Year: 2021
Type: article
Source: Biomedical Signal Processing and Control
DOI: 10.1016/j.bspc.2021.103414
Authors: Alexander Chikov, Nikolay Egorov, Dmitry Medvedev, Svetlana Chikova, Evgeniy Pavlov, Pavel Drobintsev, Alexander Krasichkov, Dmitry Kaplun
Institutions: Federal Medical-Biological Agency, North-Western State Medical University named after I.I. Mechnikov, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg State Electrotechnical University
Language: English

Topic: Cardiovascular and exercise physiology
Subfield: Complementary and alternative medicine
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed

Funder: Ministry of Education and Science of the Russian Federation
Awards: G2975715140, G3938531786
OpenAlex ID: W4200135122
FWCI: 2.25
Cites: 24
Cited by: 10
Related to: 10
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