Wrist accelerometer shape feature derivation methods for assessing activities of daily living

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1472-6947

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Wrist accelerometer shape feature derivation methods for assessing activities of daily living ; volume:18 ; number:4 ; day:12 ; month:12 ; year:2018 ; pages:1-13 ; date:12.2018
BMC medical informatics and decision making ; 18, Heft 4 (12.12.2018), 1-13, 12.2018

Creator: Kheirkhahan, Matin
Chakraborty, Avirup
Wanigatunga, Amal A.
Corbett, Duane B.
Manini, Todd M.
Ranka, Sanjay

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12911-018-0671-1

URN: urn:nbn:de:101:1-2019012818471876934034

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

Last update: 14.08.2025, 10:48 AM CEST

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Kheirkhahan, Matin
Chakraborty, Avirup
Wanigatunga, Amal A.
Corbett, Duane B.
Manini, Todd M.
Ranka, Sanjay
SpringerLink (Online service)

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Wrist accelerometer shape feature derivation methods for assessing activities of daily living

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Other Objects (12)

Sleep classification from wrist-worn accelerometer data using random forests

Comparison of a new wrist-worn accelerometer with a commonly used triaxial accelerometer under free-living conditions

Validation of the Vivago Wrist-Worn accelerometer in the assessment of physical activity

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The Amsterdam wrist rules: the multicenter prospective derivation and external validation of a clinical decision rule for the use of radiography in acute wrist trauma

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