Dynamic Characterization of Vocal Fold Vibrations | Biomechanical modeling and high-speed imaging

Zhenyi Wei

ISBN 10: 3659182230 / ISBN 13: 9783659182235

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

Dynamic Characterization of Vocal Fold Vibrations | Biomechanical modeling and high-speed imaging | Zhenyi Wei | Taschenbuch | 96 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659182235 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106344754

Bibliographic Details

• Title: Dynamic Characterization of Vocal Fold Vibrations | Biomechanical modeling and high-speed imaging
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659182230
• ISBN 13: 9783659182235
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 161 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book introduces a new seven-mass biomechanical model for the mechanical vibration of vocal folds. The model is based on the body-cover layer concept of the vocal fold biomechanics, and segments the cover layer into three masses along the longitudinal direction of the vocal fold. The model is used to characterize the vocal fold dynamics of 14 human subjects with healthy and pathological vocal folds (nodule, polyp and unilateral paralysis). A semi-empirical procedure for tuning the model parameters is proposed so that the model response matches as closely as possible the experimental data obtained from high-speed videoendoscopy in the time and frequency domains. Two factors, quantifying the asymmetry between left and right vocal folds and anterior and posterior segments of the vocal folds, are introduced. Based on the value of the asymmetry factors for the 14 subjects, the 2D asymmetry space is subdivided into four regions corresponding to healthy vocal folds, nodule, polyp and unilateral paralysis. This yields a clear visual aid for clinicians, correlating the model parameters to voice quality.

About the Author

Zhenyi Wei is a Ph.D. candidate in mechanical engineering at Louisiana State University. His research interests include modeling, adaptive control and embedded system.