Daily Activity Recognition and Tremor Quantification from Accelerometer Data for Patients with Essential Tremor Using Stacked Denoising Autoencoders

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1875-6883

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 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

Creator: Ni, Qin
Fan, Zhuo
Zhang, Lei
Zhang, Bo
Zheng, Xiaochen
Zhang, Yuping

Contributor: SpringerLink (Online service)

DOI: 10.1007/s44196-021-00052-7

URN: urn:nbn:de:101:1-2022042122300081957954

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:25 AM CEST

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Ni, Qin
Fan, Zhuo
Zhang, Lei
Zhang, Bo
Zheng, Xiaochen
Zhang, Yuping
SpringerLink (Online service)

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Daily Activity Recognition and Tremor Quantification from Accelerometer Data for Patients with Essential Tremor Using Stacked Denoising Autoencoders

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