Objectification of dysarthria in Parkinson's disease using Bayes theorem

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11110/11:10297456 RIV/00064165:_____/11:10297456

Výsledek na webu

<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

—

Jazyk výsledku

angličtina

Název v původním jazyce

Objectification of dysarthria in Parkinson's disease using Bayes theorem

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Objectification of dysarthria in Parkinson's disease using Bayes theorem

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 10th WSEAS International Conference on SIGNAL PROCESSING, ROBOTICS and AUTOMATION

ISBN

978-960-474-276-9

ISSN

1792-8192

e-ISSN

—

Počet stran výsledku

5

Strana od-do

165-169

Název nakladatele

World Scientific and Engineering Academy and Society

Místo vydání

Athens

Místo konání akce

Cambridge

Datum konání akce

20. 2. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—