Journal article
Analysis of nonlinear dynamics of vocal folds using high-speed video observation and biomechanical modeling
Digital signal processing, Vol.22(2), pp.304-313
03/2012
DOI: 10.1016/j.dsp.2010.11.002
Abstract
Primary voice production occurs in the larynx through vibrational movements carried out by vocal folds. However, many problems can affect this complex system resulting in voice disorders. In this context, time–frequency–shape analysis based on embedding phase space plots and nonlinear dynamics methods have been used to evaluate the vocal fold dynamics during phonation. For this purpose, the present work used high-speed video to record the vocal fold movements of three subjects and extract the glottal area time series using an image segmentation algorithm. This signal is used for an optimization method which combines genetic algorithms and a quasi-Newton method to optimize the parameters of a biomechanical model of vocal folds based on lumped elements (masses, springs and dampers). After optimization, this model is capable of simulating the dynamics of recorded vocal folds and their glottal pulse. Bifurcation diagrams and phase space analysis were used to evaluate the behavior of this deterministic system in different circumstances. The results showed that this methodology can be used to extract some physiological parameters of vocal folds and reproduce some complex behaviors of these structures contributing to the scientific and clinical evaluation of voice production.
Details
- Title: Subtitle
- Analysis of nonlinear dynamics of vocal folds using high-speed video observation and biomechanical modeling
- Creators
- Alan P Pinheiro - Department of Electrical Engineering, Federal University of São João del Rei, Praça Frei Orlando, 170, São João del Rei, MG, 36.307-352, BrazilDavid E Stewart - Department of Mathematics, University of Iowa, Iowa City, IA 52242, USACarlos D Maciel - Department of Electrical Engineering, University of São Paulo, Av Travalhador Sãocarlente, 400, São Carlos, SP, 13.566-590, BrazilJosé C Pereira - Department of Electrical Engineering, University of São Paulo, Av Travalhador Sãocarlente, 400, São Carlos, SP, 13.566-590, BrazilSuely Oliveira - Department of Computer Science, University of Iowa, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- Digital signal processing, Vol.22(2), pp.304-313
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.dsp.2010.11.002
- ISSN
- 1051-2004
- eISSN
- 1095-4333
- Language
- English
- Date published
- 03/2012
- Academic Unit
- Computer Science; Mathematics
- Record Identifier
- 9983985981602771
Metrics
22 Record Views