Daily Activity Recognition and Tremor Quantification from Accelerometer Data for Patients with Essential Tremor Using Stacked Denoising Autoencoders
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1875-6883
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Daily Activity Recognition and Tremor Quantification from Accelerometer Data for Patients with Essential Tremor Using Stacked Denoising Autoencoders ; volume:15 ; number:1 ; day:3 ; month:1 ; year:2022 ; pages:1-13 ; date:12.2022
International journal of computational intelligence systems ; 15, Heft 1 (3.1.2022), 1-13, 12.2022
- Urheber
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Ni, Qin
Fan, Zhuo
Zhang, Lei
Zhang, Bo
Zheng, Xiaochen
Zhang, Yuping
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s44196-021-00052-7
- URN
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urn:nbn:de:101:1-2022042122300081957954
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
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Beteiligte
- Ni, Qin
- Fan, Zhuo
- Zhang, Lei
- Zhang, Bo
- Zheng, Xiaochen
- Zhang, Yuping
- SpringerLink (Online service)
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