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Feature importance for estimating rating of perceived exertion from cardiorespiratory signals using machine learning.

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Bibliographic Details
Title: Feature importance for estimating rating of perceived exertion from cardiorespiratory signals using machine learning.
Authors: Cheng, Runbei1 (AUTHOR) runbei.cheng@eng.ox.ac.uk, Haste, Phoebe1 (AUTHOR), Levens, Elyse1 (AUTHOR), Bergmann, Jeroen1,2 (AUTHOR)
Source: Frontiers in Sports & Active Living. 2024, p1-7.
Database: SPORTDiscus with Full Text
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Description
ISSN:26249367
DOI:10.3389/fspor.2024.1448243