Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson's Disease
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F18%3A10377767" target="_blank" >RIV/00064165:_____/18:10377767 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21230/18:00322689 RIV/00216208:11110/18:10377767
Výsledek na webu
<a href="https://doi.org/10.1109/TNSRE.2018.2851787" target="_blank" >https://doi.org/10.1109/TNSRE.2018.2851787</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TNSRE.2018.2851787" target="_blank" >10.1109/TNSRE.2018.2851787</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson's Disease
Popis výsledku v původním jazyce
Although smartphone technology provides new opportunities for the recording of speech samples in everyday life, its ability to capture prodromal speech impairment in persons with a high risk of developing Parkinson's disease (PD) has never been investigated. Speech data were acquired through a smartphone as well as a professional microphone with a linear frequency response from 50 participants with a rapid eye movement sleep behavior disorder that are at a high risk of developing PD and related neurodegenerative disorders. Additionally, recordings of 30 newly diagnosed, untreated PD patients and 30 healthy participants were evaluated. Acoustic assessment of 11 speech dimensions representing the key aspects of hypokinetic dysarthria in the early stages of PD was performed. Smartphone allowed the detection of speech abnormalities in participants with a high risk of developing PD. Acoustic measurements related to fundamental frequency variability, duration of pause intervals, and rate of speech timing extracted from spontaneous speech were sufficiently sensitive to significantly separate groups (area under curve of 0.85 between PD and controls) and showed very strong correlation and reliability between the professional microphone and the smartphone. Speech-based biomarkers collected through smartphones may have the potential to revolutionize the diagnostic process in neurodegenerative diseases and improve stratification for future neuroprotective therapy in PD.
Název v anglickém jazyce
Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson's Disease
Popis výsledku anglicky
Although smartphone technology provides new opportunities for the recording of speech samples in everyday life, its ability to capture prodromal speech impairment in persons with a high risk of developing Parkinson's disease (PD) has never been investigated. Speech data were acquired through a smartphone as well as a professional microphone with a linear frequency response from 50 participants with a rapid eye movement sleep behavior disorder that are at a high risk of developing PD and related neurodegenerative disorders. Additionally, recordings of 30 newly diagnosed, untreated PD patients and 30 healthy participants were evaluated. Acoustic assessment of 11 speech dimensions representing the key aspects of hypokinetic dysarthria in the early stages of PD was performed. Smartphone allowed the detection of speech abnormalities in participants with a high risk of developing PD. Acoustic measurements related to fundamental frequency variability, duration of pause intervals, and rate of speech timing extracted from spontaneous speech were sufficiently sensitive to significantly separate groups (area under curve of 0.85 between PD and controls) and showed very strong correlation and reliability between the professional microphone and the smartphone. Speech-based biomarkers collected through smartphones may have the potential to revolutionize the diagnostic process in neurodegenerative diseases and improve stratification for future neuroprotective therapy in PD.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30103 - Neurosciences (including psychophysiology)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE Transactions on Neural Systems and Rehabilitation Engineering
ISSN
1534-4320
e-ISSN
—
Svazek periodika
26
Číslo periodika v rámci svazku
8
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
13
Strana od-do
1495-1507
Kód UT WoS článku
000441426400002
EID výsledku v databázi Scopus
2-s2.0-85049336373