Objectification of dysarthria in Parkinson's disease using Bayes theorem

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00178007" target="_blank" >RIV/68407700:21230/11:00178007 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/11:10297456 RIV/00064165:_____/11:10297456
Result on the web
<a href="http://www.wseas.us/conferences/2011/cambridge/ispra/" target="_blank" >http://www.wseas.us/conferences/2011/cambridge/ispra/</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Objectification of dysarthria in Parkinson's disease using Bayes theorem
Original language description
This paper presents an assessment of vocal impairment for separating healthy persons from patients with Parkinson's disease (PD). We have recently shown that deterioration of speech performances in PD speakers is notable from an early stage of the disease, even before starting pharmacotherapy. In this study, we present the potential of the simple Bayes rule to reveal changes in degradable speech performance in the course of PD-related dysarthria. The various speech data were recorded from 23 speakers with recently diagnosed PD and 23 healthy speakers. It has been found that 19 various acoustic measurements are able to differentiate PD significantly from healthy speakers. Subsequently, the Bayes theorem was applied to each of these measurements. As a result, the 21 PD patients and 21 healthy people were correctly classified according to their group. The Bayes theorem thus confirms its feasibility for identifying the features of the impaired voice.
Czech name
—
Czech description
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 10th WSEAS International Conference on SIGNAL PROCESSING, ROBOTICS and AUTOMATION
ISBN
978-960-474-276-9
ISSN
1792-8192
e-ISSN
—
Number of pages
5
Pages from-to
165-169
Publisher name
World Scientific and Engineering Academy and Society
Place of publication
Athens
Event location
Cambridge
Event date
Feb 20, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)