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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&apos;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&apos;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