Publication detail

Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy

MIKULEC, M. GALÁŽ, Z. MEKYSKA, J. MUCHA, J. BRABENEC, L. MORÁVKOVÁ, I. REKTOROVÁ, I.

Original Title

Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy

Type

conference paper

Language

English

Original Abstract

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.

Keywords

actigraphy; machine learning; neurodegenerative diseases; Lewy body diseases; RBD; SHAP values; sleep diary; XGBoost

Authors

MIKULEC, M.; GALÁŽ, Z.; MEKYSKA, J.; MUCHA, J.; BRABENEC, L.; MORÁVKOVÁ, I.; REKTOROVÁ, I.

Released

18. 8. 2022

Publisher

IEEE

ISBN

978-1-6654-6948-7

Book

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

Pages from

403

Pages to

406

Pages count

4

URL

https://ieeexplore.ieee.org/document/9851316

BibTex

@inproceedings{BUT178287,
  author="MIKULEC, M. and GALÁŽ, Z. and MEKYSKA, J. and MUCHA, J. and BRABENEC, L. and MORÁVKOVÁ, I. and REKTOROVÁ, I.",
  title="Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy",
  booktitle="2022 45th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2022",
  pages="403--406",
  publisher="IEEE",
  doi="10.1109/TSP55681.2022.9851316",
  isbn="978-1-6654-6948-7",
  url="https://ieeexplore.ieee.org/document/9851316"
}