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

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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.
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PubType: Academic Journal
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3389/fspor.2024.1448243
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      – Text: English
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        PageCount: 7
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      – TitleFull: Feature importance for estimating rating of perceived exertion from cardiorespiratory signals using machine learning.
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            NameFull: Cheng, Runbei
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            NameFull: Haste, Phoebe
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            NameFull: Levens, Elyse
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            – D: 09
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              Text: 2024
              Type: published
              Y: 2024
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            – TitleFull: Frontiers in Sports & Active Living
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