Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2398-6352
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data ; volume:3 ; number:1 ; day:29 ; month:10 ; year:2020 ; pages:1-7 ; date:12.2020
npj digital medicine ; 3, Heft 1 (29.10.2020), 1-7, 12.2020
- Creator
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Miura, Kotaro
Goto, Shinichi
Katsumata, Yoshinori
Ikura, Hidehiko
Shiraishi, Yasuyuki
Sato, Kazuki
Fukuda, Keiichi
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41746-020-00348-6
- URN
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urn:nbn:de:101:1-2020120722515665648789
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:29 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Miura, Kotaro
- Goto, Shinichi
- Katsumata, Yoshinori
- Ikura, Hidehiko
- Shiraishi, Yasuyuki
- Sato, Kazuki
- Fukuda, Keiichi
- SpringerLink (Online service)
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