Literature DB >> 20876004

Acoustical modeling of swallowing mechanism.

Samaneh Sarraf Shirazi1, Zahra M K Moussavi.   

Abstract

In this paper, a mathematical modeling of the swallowing sound generation is presented. To evaluate the model, its application on swallowing disorder (dysphagia) diagnosis is discussed. As a starting point, a simple linear time invariant model is assumed to represent the pharyngeal wall and tissue excited by a train of impulses. The modeling is approached by two different assumptions. In one approach, it is assumed that the impulse train, representing the neural activities to trigger swallow, is the same for both groups of control and dysphagic, and it is the pharyngeal model that accounts for the difference between the two groups. On the other hand, in the second approach, it is assumed that the pharyngeal response is the same for both groups, but the neural activities to initiate the swallow are different between the two groups. The results show that the second approach complies better with the physiological characteristics of swallowing mechanism as it provides a much better discrimination between the swallowing sounds of control and dysphagic groups of this study. Though, it should be noted that our dysphagic group subjects were cerebral palsy and stroke patients. Hence, the model accounting for initiation of neural activities is reasonable to show better results.

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Year:  2010        PMID: 20876004     DOI: 10.1109/TBME.2010.2080677

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  Detection of swallows with silent aspiration using swallowing and breath sound analysis.

Authors:  Samaneh Sarraf Shirazi; Caitlin Buchel; Reesa Daun; Laura Lenton; Zahra Moussavi
Journal:  Med Biol Eng Comput       Date:  2012-10-13       Impact factor: 2.602

2.  Characteristics of the swallowing sounds recorded in the ear, nose and on trachea.

Authors:  Samaneh Sarraf-Shirazi; Jonathan-F Baril; Zahra Moussavi
Journal:  Med Biol Eng Comput       Date:  2012-07-18       Impact factor: 2.602

3.  Automated acoustic analysis in detection of spontaneous swallows in Parkinson's disease.

Authors:  Marzieh Golabbakhsh; Ali Rajaei; Mahmoud Derakhshan; Saeed Sadri; Masoud Taheri; Peyman Adibi
Journal:  Dysphagia       Date:  2014-06-24       Impact factor: 3.438

4.  Quantitative Real-Time Assessment for Feeding Skill of Preterm Infants.

Authors:  Chang-Ting Chen; Lin-Yu Wang; Yu-Lin Wang; Bor-Shyh Lin
Journal:  J Med Syst       Date:  2017-05-06       Impact factor: 4.460

  4 in total

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