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SARA(speech)—Feasibility of automated assessment of ataxic speech disturbance
Ataxias are a group of movement disorders that are characterized by progressive loss of balance, impaired coordination and speech disturbance, which together lead to markedly reduced quality of life. Speech disturbance is clinically diagnosed, but methods for objective assessment of severity are lac...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020430/ https://www.ncbi.nlm.nih.gov/pubmed/36927996 http://dx.doi.org/10.1038/s41746-023-00787-x |
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author | Grobe-Einsler, M. Faber, J. Taheri, A. Kybelka, J. Raue, J. Volkening, J. Helmhold, F. Synofzik, M. Klockgether, T. |
author_facet | Grobe-Einsler, M. Faber, J. Taheri, A. Kybelka, J. Raue, J. Volkening, J. Helmhold, F. Synofzik, M. Klockgether, T. |
author_sort | Grobe-Einsler, M. |
collection | PubMed |
description | Ataxias are a group of movement disorders that are characterized by progressive loss of balance, impaired coordination and speech disturbance, which together lead to markedly reduced quality of life. Speech disturbance is clinically diagnosed, but methods for objective assessment of severity are lacking. Using 71 sets of speech recordings from ataxia patients, we developed an automated classification system. With a tolerance of ±1 point, this classification system correctly predicted experts’ ratings of speech disturbance according to item 4 of the Scale for Assessment and rating of ataxia (SARA) in 80% of cases. We thereby demonstrate feasibility of computer-assisted voice analysis for automated assessment of severity of speech disturbance. |
format | Online Article Text |
id | pubmed-10020430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100204302023-03-18 SARA(speech)—Feasibility of automated assessment of ataxic speech disturbance Grobe-Einsler, M. Faber, J. Taheri, A. Kybelka, J. Raue, J. Volkening, J. Helmhold, F. Synofzik, M. Klockgether, T. NPJ Digit Med Brief Communication Ataxias are a group of movement disorders that are characterized by progressive loss of balance, impaired coordination and speech disturbance, which together lead to markedly reduced quality of life. Speech disturbance is clinically diagnosed, but methods for objective assessment of severity are lacking. Using 71 sets of speech recordings from ataxia patients, we developed an automated classification system. With a tolerance of ±1 point, this classification system correctly predicted experts’ ratings of speech disturbance according to item 4 of the Scale for Assessment and rating of ataxia (SARA) in 80% of cases. We thereby demonstrate feasibility of computer-assisted voice analysis for automated assessment of severity of speech disturbance. Nature Publishing Group UK 2023-03-16 /pmc/articles/PMC10020430/ /pubmed/36927996 http://dx.doi.org/10.1038/s41746-023-00787-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Brief Communication Grobe-Einsler, M. Faber, J. Taheri, A. Kybelka, J. Raue, J. Volkening, J. Helmhold, F. Synofzik, M. Klockgether, T. SARA(speech)—Feasibility of automated assessment of ataxic speech disturbance |
title | SARA(speech)—Feasibility of automated assessment of ataxic speech disturbance |
title_full | SARA(speech)—Feasibility of automated assessment of ataxic speech disturbance |
title_fullStr | SARA(speech)—Feasibility of automated assessment of ataxic speech disturbance |
title_full_unstemmed | SARA(speech)—Feasibility of automated assessment of ataxic speech disturbance |
title_short | SARA(speech)—Feasibility of automated assessment of ataxic speech disturbance |
title_sort | sara(speech)—feasibility of automated assessment of ataxic speech disturbance |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020430/ https://www.ncbi.nlm.nih.gov/pubmed/36927996 http://dx.doi.org/10.1038/s41746-023-00787-x |
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