Classification of Functional and Nonfunctional Hand Movement Using Deep Learning and First-Person View Video-Reference-Cited by-同舟云学术

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Classification of Functional and Nonfunctional Hand Movement Using Deep Learning and First-Person View Video

Published:2023-07-24 Issue: Volume:37 Page:1936-1942
ISSN:
Container-title:2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)
language:
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Author:

Tran Tan¹,Chang Lin-Ching¹,Lum Peter S.²

Affiliation:

1. Dept. of Electrical Engineering and Computer Science

2. The Catholic University of America,Dept. of Biomedical Engineering,Washington,DC,USA,20064

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10487132/10487174/10487219.pdf?arnumber=10487219

Reference28 articles.

1. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2. Protective Effect of Delayed Remote Limb Ischemic Postconditioning: Role of Mitochondrial KATP Channels in a Rat Model of Focal Cerebral Ischemic Reperfusion Injury

3. Assessment of upper extremity impairment, function, and activity after stroke: foundations for clinical decision making

4. Treatment Interventions for the Paretic Upper Limb of Stroke Survivors: A Critical Review

5. Performance-Based Measures of Functional Skills: Usefulness in Clinical Treatment Studies

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