Digital Biomarkers for Assessing Respiratory Disorders in Parkinson’s Disease
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148594" target="_blank" >RIV/00216305:26220/23:PU148594 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/eeict.2023.232" target="_blank" >10.13164/eeict.2023.232</a>
Alternative languages
Result language
angličtina
Original language name
Digital Biomarkers for Assessing Respiratory Disorders in Parkinson’s Disease
Original language description
Respiratory disorders are a significant part of hypokinetic dysarthria (HD) that affects patients with Parkinson’s disease (PD). Still, their potential role in the objective assessment of HD has not yet been fully explored, which is the primary goal of this study. Several respiratory features were designed and extracted from acoustic signals recorded during text reading. Based on these features, the XGBoost model was able to predict clinical test scores of phonorespiration with an estimated error rate of 12.54%. Statistical analysis revealed that measuring respiration rate and quantifying signal fluctuations during inspiration have great potential in the objective assessment of respiratory disorders in patients with PD.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers
ISBN
978-80-214-6154-3
ISSN
2788-1334
e-ISSN
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Number of pages
5
Pages from-to
232-236
Publisher name
Brno University of Technology, Faculty of Elektronic Engineering and Communication
Place of publication
Brno
Event location
Brno
Event date
Apr 25, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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