Special Research Seminar: Modeling biomechanical, aero-acoustic, and auditory feedback mechanisms of vocal hyperfunction
|Event Date:||January 17, 2017|
|Hosted By:||Weldon School of Biomedical Engineering
|School or Program:||Biomedical Engineering
Abstract: Many of the most common voice disorders are chronic conditions that are believed to result from repeated detrimental patterns of vocal behavior, referred to as vocal hyperfunction (VH). This includes the formation of benign vocal fold lesions (e.g., nodules) and the impairment of laryngeal muscle control in the absence of structural/neurological abnormalities (e.g., muscle tension dysphonia). In spite of the significant prevalence of these disorders, very little is known about the underlying biomechanical, aero-acoustic, and auditory feedback mechanisms of VH. The proposed modeling framework enables the investigation of causal links between patient pathology/compensation and VH and it is also used to enhance the assessment of vocal function. The approach consists of numerical and experimental components that combine subject-specific model representations, laryngeal high-speed videoendoscopy, ambulatory monitoring, and machine learning tools to provide access to new measures of vocal function that are difficult, if not impossible, to obtain in both clinical and ambulatory assessments.
Bio: Matías Zañartu is an Assistant Professor in the Department of Electronic Engineering and the Head of the biomedical engineering research of the Advanced Center for Electrical and Electronic Engineering at Universidad Técnica Federico Santa María in Valparaiso, Chile. He received his PhD and MS degrees in electrical and computer engineering from Purdue University, West Lafayette, USA, and his BS in acoustical engineering from Universidad Tecnológica Vicente Pérez Rosales, Santiago, Chile. His interests include the development of digital signal processing, system modeling, and biomedical engineering tools that involve speech, audio, and acoustics. His recent research efforts have revolved around developing quantitative models that describe nonlinear effects in human speech production, and applying these physiological descriptions for the development of communication and clinical technologies.
A light lunch will be served. Please RSVP to email@example.com to indicate your attendance.