Acoustic Tracking of Pitch, Modal, and Subharmonic Vibrations of Vocal Folds in Parkinsons Disease and Parkinsonism
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F19%3A10401543" target="_blank" >RIV/00216208:11110/19:10401543 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/19:00335345
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=2BjPfygXrd" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=2BjPfygXrd</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2019.2945874" target="_blank" >10.1109/ACCESS.2019.2945874</a>
Alternative languages
Result language
angličtina
Original language name
Acoustic Tracking of Pitch, Modal, and Subharmonic Vibrations of Vocal Folds in Parkinsons Disease and Parkinsonism
Original language description
The prominent and early presence of dysphonia is considered a valuable marker for differentiation of idiopathic Parkinsons disease and parkinsonian syndromes. Objective quantification of vibrational regimes represented by modal and subharmonic vibrations may thus be vital for improving accuracy of diagnostic decision. The rationale for analyzing vibrational regimes is that abnormal subharmonic vibrations might be the key factor causing dysphonia in parkinsonian syndromes. This study introduces a new fully automated methodology based on robust pitch tracker for decoupling vibrations controlled by laryngeal muscles from the effect of subharmonics that provides distinguishing features of Parkinsons disease and atypical parkinsonian syndromes. We tested the method on resynthesized signals with known parameters and demonstrated that vibrations controlled by laryngeal muscles as well as subharmonics can be detected reliably with a precision that outperforms available technologies. We analysed 337 sustained vowels of 22 patients with PD, 21 patients with multiple system atrophy, 18 patients with progressive supranuclear palsy and 22 healthy controls. Our results showed that subharmonics are more prominent in atypical parkinsonian syndromes compared to Parkinsons disease. Also, increased modulation by laryngeal muscles appears to be a distinctive symptom of multiple system atrophy. Developed algorithm and proposed resynthesized voice signals provide further critical step to understanding and evaluation of dysphonia in Parkinsonism.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
October
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
150339-150354
UT code for WoS article
000497160500110
EID of the result in the Scopus database
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