Degree of Parkinson's Disease Severity Estimation Based on Speech Signal Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119577" target="_blank" >RIV/00216305:26220/16:PU119577 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7760930" target="_blank" >https://ieeexplore.ieee.org/document/7760930</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2016.7760930" target="_blank" >10.1109/TSP.2016.7760930</a>
Alternative languages
Result language
angličtina
Original language name
Degree of Parkinson's Disease Severity Estimation Based on Speech Signal Processing
Original language description
This paper deals with Parkinson’s disease (PD) severity estimation according to the Unified Parkinson’s Disease Rating Scale: motor subscale (UPDRS III), which quantifies the hallmark symptoms of PD, using an acoustic analysis of speech signals. Experimental dataset comprised 42 speech tasks acquired from 50 PD patients (UPDRS III ranged from 6 to 92). It was divided into subsets: words, sentences, reading text, monologue and diadochokinetic tasks. We performed a parametrization of the whole corpus and these groups separately using a wide range of conventional and novel speech features. We used guided regularized random forest algorithm to select features with maximum clinical information and performed random forests regression to estimate PD severity. According to significant correlations between true UPDRS III scores and scores predicted by the proposed methodology it was shown information extracted through variety of speech tasks can be used to estimate PD severity. of PD severity.
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
20201 - Electrical and electronic engineering
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
2016
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 39th International Conference on Telecommunication and Signal Processing, TSP 2016
ISBN
978-1-5090-1287-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
503-506
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Vídeň
Event date
Jun 27, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390164000109