Advances in a Multimodal Approach for Dysphagia Analysis Based on Automatic Voice Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119421" target="_blank" >RIV/00216305:26220/16:PU119421 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-33747-0_20" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-33747-0_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-33747-0_20" target="_blank" >10.1007/978-3-319-33747-0_20</a>
Alternative languages
Result language
angličtina
Original language name
Advances in a Multimodal Approach for Dysphagia Analysis Based on Automatic Voice Analysis
Original language description
Parkinson’s disease (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1–1 %, and an annual incidence between 1.3–2.0/10,000 inhabitants. The most obvious symptoms are movement-related such as tremor, rigidity, slowness of movement and walking difficulties and frequently these are the symptoms that lead to the PD diagnoses but also they could have dysphagia. In this sense voice analysis is a safe, non-invasive, and reliable screening procedure for PD patients with dysphagia, which could detect patients at high risk of clinically significant aspiration. In this paper we will present a part of an ongoing project that will evaluate automatic speech analysis based on linear and non-linear features. These can be reliable predictors/indicators of swallowing and balance impairments in PD. An important advantage of voice analysis is its low intrusiveness and easy implementation in clinical practice. Thus, if a significant correlation between these simple analyses and the gold standard video-fluoroscopic analysis will imply simpler and less stressing diagnostic test for the patients as well as the use of cheaper analysis systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Neural Networks
ISBN
978-3-319-33746-3
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
201-211
Publisher name
Springer International Publishing
Place of publication
Switzerland
Event location
Vietri sul Mare
Event date
May 20, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426341600020