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GALÁŽ, Z. MEKYSKA, J. MŽOUREK, Z. KISKA, T. SMÉKAL, Z. REKTOROVÁ, I.
Original Title
Degree of Parkinson's Disease Severity Estimation Based on Speech Signal Processing
Type
conference paper
Language
English
Original Abstract
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.
Keywords
hypokinetic dysarthria; Parkinson’s disease; regression; severity estimation; speech processing
Authors
GALÁŽ, Z.; MEKYSKA, J.; MŽOUREK, Z.; KISKA, T.; SMÉKAL, Z.; REKTOROVÁ, I.
Released
29. 6. 2016
ISBN
978-1-5090-1287-9
Book
Proceedings of the 39th International Conference on Telecommunication and Signal Processing, TSP 2016
Edition
1
Edition number
Pages from
503
Pages to
506
Pages count
4
URL
https://ieeexplore.ieee.org/document/7760930
BibTex
@inproceedings{BUT126644, author="Zoltán {Galáž} and Jiří {Mekyska} and Zdeněk {Mžourek} and Tomáš {Kiska} and Zdeněk {Smékal} and Irena {Rektorová}", title="Degree of Parkinson's Disease Severity Estimation Based on Speech Signal Processing", booktitle="Proceedings of the 39th International Conference on Telecommunication and Signal Processing, TSP 2016", year="2016", series="1", number="1", pages="503--506", doi="10.1109/TSP.2016.7760930", isbn="978-1-5090-1287-9", url="https://ieeexplore.ieee.org/document/7760930" }