The Transferable Methodologies of Detection Sleep Disorders Thanks to the Actigraphy Device for Parkinson's Disease Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141023" target="_blank" >RIV/00216305:26220/21:PU141023 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-2880/paper1.pdf" target="_blank" >http://ceur-ws.org/Vol-2880/paper1.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5281/zenodo.4947588" target="_blank" >10.5281/zenodo.4947588</a>
Alternative languages
Result language
angličtina
Original language name
The Transferable Methodologies of Detection Sleep Disorders Thanks to the Actigraphy Device for Parkinson's Disease Detection
Original language description
Due to population aging, society is struggling with an increasing number of patients with neurodegenerative diseases. One of them is Parkinson's disease. Early detection of Parkinson's disease is very important since there is no cure and the treatment is more effective when administered early. Wearable devices can be of great help - they are cheap and reachable, they can last for many days without charging, can provide long time monitoring, and are minimally invasive to human life. In the paper, we briefly desribe the sensors and actigraphs suitable for the analysis of sleep disturbance in Parkinson's patients and noctural symptoms of Parkinson's disease. Moreover, we pointed out how to collect the data and what could have an influence on the final performance of the automatic models. Additionally, as the main aim of this paper, we have analysed and desribed the machine learning algorithms used in the area of analysis accelerometer singla for sleep / awake stages recognition or diseases which manifested in changes in sleep patterns. We though that these algorithms, because of the nature of Parkinon's patients' sleep patterns, will be simultaneously appropriate for the detection of Parkinon's disease.
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
20205 - Automation and control systems
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
11th WiP International Conference on Localization and GNSS
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
11
Pages from-to
1-11
Publisher name
CEUR
Place of publication
neuveden
Event location
Tampere
Event date
Jun 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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