Name
Title | ||
|---|---|---|
Estimating Tremor in Vocal Fold Biomechanics for Neurological Disease Characterization |
Abstract | ||
|---|---|---|
Neurological Diseases (ND) are affecting larger segments of aging population every year. Treatment is dependent on expensive accurate and frequent monitoring. It is well known that ND leave correlates in speech and phonation. The present work shows a method to detect alterations in vocal fold tension during phonation. These may appear either as hypertension or as cyclical tremor. Estimations of tremor may be produced by auto-regressive modeling of the vocal fold tension series in sustained phonation. The correlates obtained are a set of cyclicality coefficients, the frequency and the root mean square amplitude of the tremor. Statistical distributions of these correlates obtained from a set of male and female subjects are presented. Results from five study cases of female voice are also given. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICDSP.2013.6622735 | Digital Signal Processing |
Keywords | Field | DocType |
autoregressive processes,biological organs,biomechanics,diseases,mean square error methods,medical signal processing,neurophysiology,patient monitoring,speech,speech processing,autoregressive modeling,cyclical tremor,cyclicality coefficients,frequency amplitude,hypertension,neurological disease characterization,patient treatment,phonation,root mean square amplitude,statistical distributions,tremor estimation,vocal fold biomechanics,vocal fold tension,vocal fold tension series,glottal source,parkinson's disease,voice processing,e-health care in aging,robustness,artificial neural networks | Speech processing,Disease,Pattern recognition,Neurophysiology,Computer science,Remote patient monitoring,Speech recognition,Artificial intelligence,Audiology,Biomechanics,Phonation | Conference |
ISSN | Citations | PageRank |
1546-1874 | 2 | 0.42 |
References | Authors | |
5 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Gómez Vilda | 1 | 289 | 52.48 |
| Victor Nieto Lluis | 2 | 59 | 14.14 |
| María Victoria Rodellar Biarge | 3 | 2 | 0.42 |
| Agustín Álvarez-Marquina | 4 | 49 | 9.09 |
| Luis Miguel Mazaira-Fernández | 5 | 57 | 9.66 |
| Rafael Martínez-Olalla | 6 | 72 | 11.95 |
| Cristina Muñoz-Mulas | 7 | 23 | 5.72 |
| Mario Fernández-Fernández | 8 | 10 | 1.78 |
| Carlos Ramírez-Calvo | 9 | 10 | 2.12 |