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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: Runbei Cheng1 runbei.cheng@eng.ox.ac.uk, Haste, Phoebe1, Levens, Elyse1, Bergmann, Jeroen1,2
Source: Frontiers in Sports & Active Living. 2024, p01-07.
Database: SPORTDiscus with Full Text
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Header DbId: s3h
DbLabel: SPORTDiscus with Full Text
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PubType: Academic Journal
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      – Type: doi
        Value: 10.3389/fspor.2024.1448243
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      – Text: English
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      – TitleFull: Feature importance for estimating rating of perceived exertion from cardiorespiratory signals using machine learning.
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              Text: 2024
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