Automatic detection of oral and pharyngeal phases in swallowing using classification algorithms and multichannel EMG-Reference-Cited by-同舟云学术

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Automatic detection of oral and pharyngeal phases in swallowing using classification algorithms and multichannel EMG

Published:2018-12 Issue: Volume:43 Page:193-200
ISSN:1050-6411
Container-title:Journal of Electromyography and Kinesiology
language:en
Short-container-title:Journal of Electromyography and Kinesiology

Author:

Roldan-Vasco Sebastian,Restrepo-Agudelo Sebastian,Valencia-Martinez Yorhagy,Orozco-Duque Andres

Funder

COLCIENCIAS - República de Colombia

Publisher

Elsevier BV

Subject

Neurology (clinical),Biophysics,Neuroscience (miscellaneous)

Reference46 articles.

1. Surface myoelectric signal analysis: dynamic approaches for change detection and classification;Al-Assaf;IEEE Trans. Biomed. Eng.,2006

2. Evaluation and management of oropharyngeal dysphagia in different types of dementia: a systematic review;Alagiakrishnan;Arch. Gerontol. Geriatr.,2013

3. Support vector regression for improved real-time, simultaneous myoelectric control;Ameri;IEEE Trans. Neural Syst. Rehabil. Eng.,2014

4. Two modified scaled nonlinear conjugate gradient methods;Babaie-Kafaki;J. Comput. Appl. Math.,2014

5. The prevalence of dysphagia among adults in the united states;Bhattacharyya;Otolaryngol.–Head Neck Surg.,2014

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