Thesis: Model-based trajectory estimation of laryngeal biomechanics for characterizing central and autonomic dysregulation in voice production
| datacite.subject.fos | Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| dc.contributor.department | Departamento de Electrónica | |
| dc.contributor.guia | Zañartu Salas, Matias | |
| dc.coverage.spatial | Campus Casa Central Valparaíso | |
| dc.creator | Ortega Vargas, Rocío Belén | |
| dc.date.accessioned | 2026-03-23T19:14:32Z | |
| dc.date.available | 2026-03-23T19:14:32Z | |
| dc.date.issued | 2026-01 | |
| dc.description.abstract | This thesis focuses on the development and application of a model-based trajectory estimation framework for laryngeal motor control, with the goal of inferring latent biomechanical variables from acoustic signals to improve the assessment of neurological and functional voice disorders. The motivation lies in the need to bridge the gap between observable acoustic outputs and the underlying physiological processes, allowing for a deeper understanding of vocal motor impairments associated with both central neurodegeneration and autonomic dysregulation. The first stage of this research addresses the methodological configuration and operational characterization of the regression-based forward mapping used to approximate the laryngeal plant. Building upon established simulations of the Triangular Body-Cover Model, this work systematically evaluates distinct combinations of laryngeal control parameters and acoustic outputs to identify the specific input-output interface that maximizes estimation accuracy and numerical stability. This selection process establishes the robust parametric foundation required for the reliable inverse estimation of control trajectories in subsequent analyses. The second stage applies this configured framework to the characterization of central motor impairment in Parkinson’s disease. By reconstructing continuous biomechanical trajectories from sustained vowel phonations, the study reveals that PD-related motor deficits manifest as reduced stability and altered temporal coordination of laryngeal motor commands compared to healthy speakers. These biomechanically informed features demonstrate superior discriminative power compared to surface-level acoustic descriptors, highlighting their potential as objective markers for the automated assessment of hypokinesia and rigidity in voice production. Extending the framework to functional dysregulations, the third stage examines the autonomic modulation of vocal motor control under elevated cognitive load. Analyzing continuous speech produced during(...) | en_US |
| dc.description.degree | Magíster en Ciencias de la Ingeniería Electrónica | |
| dc.description.sponsorship | National Institutes of Health (NIH)-National Institute on Deafness and Other Communication Disorders, grant-P50 DC015446 | |
| dc.description.sponsorship | ANID-grants FONDECYT-1230828 | |
| dc.description.sponsorship | ANID-BASAL CIA-250006 | |
| dc.description.sponsorship | ANID-Master National Scholarship-22231668 | |
| dc.driver | info:eu-repo/semantics/masterThesis | |
| dc.format.extent | 244 páginas | |
| dc.identifier.barcode | MC_RO_2026 | |
| dc.identifier.doi | 10.71959/91wq-1831 | |
| dc.identifier.uri | https://cris.usm.cl/handle/123456789/4336 | |
| dc.identifier.uri | https://doi.org/10.71959/91wq-1831 | |
| dc.language.iso | en | |
| dc.publisher | Universidad Técnica Federico Santa María | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Parkinson’s disease | |
| dc.subject | Vocal hyperfunction | |
| dc.subject | Cognitive load | |
| dc.subject | Voice analysis | |
| dc.subject | Biomechanical modeling | |
| dc.subject | Laryngeal motor control | |
| dc.subject | Machine learning | |
| dc.title | Model-based trajectory estimation of laryngeal biomechanics for characterizing central and autonomic dysregulation in voice production | |
| dc.type.driver | info:eu-repo/semantics/masterThesis | |
| dspace.entity.type | Tesis |
Política de Privacidad 
