Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216224:14740/22:00134704

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/NU20-04-00294" target="_blank" >NU20-04-00294: Diagnostika onemocnění s Lewyho tělísky v prodromálním stadiu založená na analýze multimodálních dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2022 45th International Conference on Telecommunications and Signal Processing (TSP)

ISBN

978-1-6654-6948-7

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

403-406

Název nakladatele

IEEE

Místo vydání

neuveden

Místo konání akce

Prague

Datum konání akce

13. 7. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—