Deep learning for classification of normal swallows in adults-Reference-Cited by-同舟云学术

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Deep learning for classification of normal swallows in adults

Published:2018-04 Issue: Volume:285 Page:1-9
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Dudik Joshua M.,Coyle James L.,El-Jaroudi Amro,Mao Zhi-Hong,Sun Mingui,Sejdić Ervin

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference39 articles.

1. Evaluating dysphagia;Spieker;Am. Family Physician,2000

2. Complications and outcome after acute stroke. Does dysphagia matter?;Smithard;Stroke,1996

3. Cervical auscultation synchronized with images from endoscopy swallow evaluations;Leslie;Dysphagia,2007

4. Oropharyngeal dysphagia assessment and treatment efficacy: setting the record straight (response to Campbell–Taylor);Coyle;J. Am. Med. Dir. Assoc.,2009

5. Clinical utility of the 3-ounce water swallow test;Suiter;Dysphagia,2008

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2. Enhancing Intake Monitoring: Transfer Learning for Audio-Based Detection of Swallowing Events;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

3. Exploratory analysis of swallowing behaviour in community-dwelling older adults using a wearable device: Differences by age and ingestant under different task loads;DIGITAL HEALTH;2024-01

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