Literature DB >> 29994713

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

Jan Rusz, Jan Hlavnicka, Tereza Tykalova, Michal Novotny, Petr Dusek, Karel Sonka, Evzen Ruzicka.   

Abstract

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.

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Year:  2018        PMID: 29994713     DOI: 10.1109/TNSRE.2018.2851787

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  15 in total

1.  Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network.

Authors:  Liaqat Ali; Ce Zhu; Zhonghao Zhang; Yipeng Liu
Journal:  IEEE J Transl Eng Health Med       Date:  2019-10-07       Impact factor: 3.316

2.  Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessment.

Authors:  Apiwat Ditthapron; Emmanuel O Agu; Adam C Lammert
Journal:  IEEE Open J Eng Med Biol       Date:  2021-03-04

Review 3.  An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis.

Authors:  Katherine Hope Kenyon; Frederique Boonstra; Gustavo Noffs; Helmut Butzkueven; Adam P Vogel; Scott Kolbe; Anneke van der Walt
Journal:  Cerebellum       Date:  2022-06-27       Impact factor: 3.648

4.  Distinctive speech signature in cerebellar and parkinsonian subtypes of multiple system atrophy.

Authors:  Jan Rusz; Tereza Tykalová; Giulio Salerno; Serena Bancone; Johara Scarpelli; Maria Teresa Pellecchia
Journal:  J Neurol       Date:  2019-03-11       Impact factor: 4.849

Review 5.  Motor Dysfunction in REM Sleep Behavior Disorder: A Rehabilitation Framework for Prodromal Synucleinopathy.

Authors:  Rebekah L S Summers; Miriam R Rafferty; Michael J Howell; Colum D MacKinnon
Journal:  Neurorehabil Neural Repair       Date:  2021-05-12       Impact factor: 3.919

6.  Data mining of an acoustic biomarker in tongue cancers and its clinical validation.

Authors:  Yudong Xiao; Tao Wang; Wei Deng; Le Yang; Bin Zeng; Xiaomei Lao; Sien Zhang; Xiangqi Liu; Daiqiao Ouyang; Guiqing Liao; Yujie Liang
Journal:  Cancer Med       Date:  2021-05-02       Impact factor: 4.452

7.  Speech Biomarkers in Rapid Eye Movement Sleep Behavior Disorder and Parkinson Disease.

Authors:  Jan Rusz; Jan Hlavnička; Michal Novotný; Tereza Tykalová; Amelie Pelletier; Jacques Montplaisir; Jean-Francois Gagnon; Petr Dušek; Andrea Galbiati; Sara Marelli; Paul C Timm; Luke N Teigen; Annette Janzen; Mahboubeh Habibi; Ambra Stefani; Evi Holzknecht; Klaus Seppi; Elisa Evangelista; Anna Laura Rassu; Yves Dauvilliers; Birgit Högl; Wolfgang Oertel; Erik K St Louis; Luigi Ferini-Strambi; Evžen Růžička; Ronald B Postuma; Karel Šonka
Journal:  Ann Neurol       Date:  2021-05-07       Impact factor: 10.422

Review 8.  Digital Technology in Movement Disorders: Updates, Applications, and Challenges.

Authors:  Jamie L Adams; Karlo J Lizarraga; Emma M Waddell; Taylor L Myers; Stella Jensen-Roberts; Joseph S Modica; Ruth B Schneider
Journal:  Curr Neurol Neurosci Rep       Date:  2021-03-03       Impact factor: 6.030

Review 9.  Differential Diagnosis of Apraxia of Speech in Children and Adults: A Scoping Review.

Authors:  Kristen M Allison; Claire Cordella; Jenya Iuzzini-Seigel; Jordan R Green
Journal:  J Speech Lang Hear Res       Date:  2020-08-12       Impact factor: 2.297

Review 10.  Biomarkers of conversion to α-synucleinopathy in isolated rapid-eye-movement sleep behaviour disorder.

Authors:  Mitchell G Miglis; Charles H Adler; Elena Antelmi; Dario Arnaldi; Luca Baldelli; Bradley F Boeve; Matteo Cesari; Irene Dall'Antonia; Nico J Diederich; Kathrin Doppler; Petr Dušek; Raffaele Ferri; Jean-François Gagnon; Ziv Gan-Or; Wiebke Hermann; Birgit Högl; Michele T Hu; Alex Iranzo; Annette Janzen; Anastasia Kuzkina; Jee-Young Lee; Klaus L Leenders; Simon J G Lewis; Claudio Liguori; Jun Liu; Christine Lo; Kaylena A Ehgoetz Martens; Jiri Nepozitek; Giuseppe Plazzi; Federica Provini; Monica Puligheddu; Michal Rolinski; Jan Rusz; Ambra Stefani; Rebekah L S Summers; Dallah Yoo; Jennifer Zitser; Wolfgang H Oertel
Journal:  Lancet Neurol       Date:  2021-08       Impact factor: 44.182

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