Parkinson’s disease glottal flow characterization: Phonation features vs amplitude distributions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU136735" target="_blank" >RIV/00216305:26220/20:PU136735 - isvavai.cz</a>
Result on the web
<a href="https://www.scitepress.org/Link.aspx?doi=10.5220%2f0009189403590368" target="_blank" >https://www.scitepress.org/Link.aspx?doi=10.5220%2f0009189403590368</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0009189403590368" target="_blank" >10.5220/0009189403590368</a>
Alternative languages
Result language
angličtina
Original language name
Parkinson’s disease glottal flow characterization: Phonation features vs amplitude distributions
Original language description
The study of speech and voice in people diagnosed with a neurodegenerative disorder for the purposes of detection and monitoring has known a very relevant push forward in these last years, but it is far from being completed. One of the main concerns nowadays is that once the deterioration of speech and phonation quality has been informed by machine learning relying upon clinical expertise, there is insufficient evidence to resolve if quality deterioration may come from organic causes, neuromotor degeneration or simply from aging. The present work is part of a more ambitious plan to shed light on this problem by resorting to a theoretical modelling of glottal signals under the main known causes affecting phonation quality, which are closure deficits during the phonation cycle. These deficits may be due to anatomical, organic pathologic or neuromotor reasons. Simulation examples explaining them in the glottal excitation signals are given and contrasted with real examples. Finally, relevant scores from an experimental separation of Parkinson Disease phonation samples from 24 male and 24 female subjects against aging 24 male and 24 female controls on the same age taken from a male-female balanced dataset confronted to a normative subset of 24 male and 24 female speakers are presented to exemplify an analysis study deepening into this problem. Although classification accuracy scores as high as 99.69 and 99.59 were attained in 10-fold cross-validation using an SVM classifier, there is still the impression that co-morbidity and aging effects are not well taken into account, requiring a further semantic study on the features behind the discrimination scores obtained.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/NV16-30805A" target="_blank" >NV16-30805A: Effects of non-invasive brain stimulation on hypokinetic dysarthria, micrographia, and brain plasticity in patients with Parkinson's disease</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: SERPICO
ISBN
978-989-758-398-8
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
359-368
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Valletta, Malta
Event date
Feb 24, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000571477000045