Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson's Disease

Result code in 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>

Alternative codes found

RIV/68407700:21230/18:00322689 RIV/00216208:11110/18:10377767

Result on the web

<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>

Result language

angličtina

Original language name

Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson's Disease

Original language description

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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

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

Name of the periodical

IEEE Transactions on Neural Systems and Rehabilitation Engineering

ISSN

1534-4320

e-ISSN

—

Volume of the periodical

26

Issue of the periodical within the volume

8

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

1495-1507

UT code for WoS article

000441426400002

EID of the result in the Scopus database

2-s2.0-85049336373