Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning-Reference-Cited by-同舟云学术

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Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning

Published:2017-12 Issue:12 Volume:26 Page:2880-2887
ISSN:1052-3057
Container-title:Journal of Stroke and Cerebrovascular Diseases
language:en
Short-container-title:Journal of Stroke and Cerebrovascular Diseases

Author:

Bochniewicz Elaine M.,Emmer Geoff,McLeod Adam,Barth Jessica,Dromerick Alexander W.,Lum Peter

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical),Rehabilitation,Surgery

Reference27 articles.

1. Stem cells as an emerging paradigm in stroke 3: enhancing the development of clinical trials;Savitz;Stroke,2014

2. Using wearable sensors and machine learning models to separate functional upper extremity use from walking-associated arm movements;McLeod;Arch Phys Med Rehabil,2016

3. Measurement of upper-extremity function early after stroke: properties of the action research arm test;Lang;Arch Phys Med Rehabil,2006

4. Relationships between upper-limb functional limitation and self-reported disability 3 months after stroke;Dromerick;J Rehabil Res Dev,2006

5. Sensitivity to changes in disability after stroke: a comparison of four scales useful in clinical trials;Dromerick;J Rehabil Res Dev,2003

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