|
Descripción
|
|
|---|---|
| This study extends previous work modeling the jaw-tongue biomechanical system to further investigate neuromotor activity in muscular activity during certain speech gestures to model hypokinetic dysarthria in Parkinson?s Disease (PD) patients. The objective of this study is to estimate the parameters of an inverse model for the characterization of neuromotor activity on the masseter from 3D accelerometry (3DAcc) and speech kinematics. Model parameter estimation is based on an iteration of initial kinematic data on the sagittal plane obtained from multiple regression with respect to formant dynamics derived from acoustical analysis. Preliminary results point to the feasibility of this methodology in populating model parameters from both healthy controls and PD patients. | |
|
Internacional
|
Si |
|
Nombre congreso
|
Models and Analysis of Vocal Emissions for Biomedical Applications : 11th International Workshop |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Florencia, Italia |
|
Revisores
|
Si |
|
ISBN o ISSN
|
978-88-6453-961-4 |
|
DOI
|
|
|
Fecha inicio congreso
|
17/12/2019 |
|
Fecha fin congreso
|
19/12/2019 |
|
Desde la página
|
25 |
|
Hasta la página
|
28 |
|
Título de las actas
|
Proceedings of MAVEBA 2019 |