Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU144831" target="_blank" >RIV/00216305:26220/22:PU144831 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14740/22:00134704
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9851316" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9851316</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP55681.2022.9851316" target="_blank" >10.1109/TSP55681.2022.9851316</a>
Alternative languages
Result language
angličtina
Original language name
Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy
Original language description
This paper is devoted to the computerized automated diagnosis of the prodromal state of Lewy body diseases (LBD) based on actigraphy. LBD is a group of neurodegenerative diseases that require early treatment to alleviate the course of the disease and improve the quality of the lives of patients. This work proposes a method of prodromal diagnosis of LBD based on quantitative analysis of actigraphic sleep data. A new method of sleep and wake detection based on the XGBoost classifier and the angle of the z-axis is introduced, which achieves 83% accuracy and surpasses the results of state-of-the-art methods. Furthermore, a method that can distinguish subjects with prodromal LBD (50 subjects with Parkinson's disease, dementia with Lewy bodies or mild cognitive impairment) and healthy controls (63 subjects) with 94% accuracy was introduced. The sensitivity of the method of 100% and specificity of 91% was considered sufficient for clinical practice and the proposed methods can help develop decision-making tools that maximize the potential for an early and objective diagnosis of LBD.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/NU20-04-00294" target="_blank" >NU20-04-00294: Diagnostics of Lewy body diseases in prodromal stage based on multimodal data analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 45th International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-6654-6948-7
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
403-406
Publisher name
IEEE
Place of publication
neuveden
Event location
Prague
Event date
Jul 13, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—