Other formats:
BibTeX
LaTeX
RIS
@inproceedings{2386059,
author = {Galaz, Zoltan and Mekyska, Jiri and Mucha, Jan and Zvoncak, Vojtech and Smekal, Zdenek and FaundezandZanuy, Marcos and Brabenec, Luboš and Morávková, Ivona and Rektorová, Irena},
address = {CHAM},
booktitle = {Intertwining Graphonomics with Human Movements},
doi = {http://dx.doi.org/10.1007/978-3-031-19745-1_19},
editor = {Cristina Carmona-Duarte, Moises Diaz, Miguel A. Ferrer, Aythami Morales},
keywords = {Lewy body diseases; Online handwriting; Graphomotor difficulties; Handwriting difficulties; Machine learning; Prodromal diagnosis},
howpublished = {tištěná verze "print"},
language = {eng},
location = {CHAM},
isbn = {978-3-031-19744-4},
pages = {255-268},
publisher = {SPRINGER INTERNATIONAL PUBLISHING AG},
title = {Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties},
url = {https://link.springer.com/chapter/10.1007/978-3-031-19745-1_27},
year = {2022}
}
TY - JOUR
ID - 2386059
AU - Galaz, Zoltan - Mekyska, Jiri - Mucha, Jan - Zvoncak, Vojtech - Smekal, Zdenek - Faundez-Zanuy, Marcos - Brabenec, Luboš - Morávková, Ivona - Rektorová, Irena
PY - 2022
TI - Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties
PB - SPRINGER INTERNATIONAL PUBLISHING AG
CY - CHAM
SN - 9783031197444
KW - Lewy body diseases
KW - Online handwriting
KW - Graphomotor difficulties
KW - Handwriting difficulties
KW - Machine learning
KW - Prodromal diagnosis
UR - https://link.springer.com/chapter/10.1007/978-3-031-19745-1_27
N2 - To this date, studies focusing on the prodromal diagnosis of Lewy body diseases (LBDs) based on quantitative analysis of graphomotor and handwriting difficulties are missing. In this work, we enrolled 18 subjects diagnosed with possible or probable mild cognitive impairment with Lewy bodies (MCI-LB), 7 subjects having more than 50% probability of developing Parkinson's disease (PD), 21 subjects with both possible/probable MCI-LB and probability of PD > 50%, and 37 age- and gender-matched healthy controls (HC). Each participant performed three tasks: Archimedean spiral drawing (to quantify graphomotor difficulties), sentence writing task (to quantify handwriting difficulties), and pentagon copying test (to quantify cognitive decline). Next, we parameterized the acquired data by various temporal, kinematic, dynamic, spatial, and task-specific features. And finally, we trained classification models for each task separately as well as a model for their combination to estimate the predictive power of the features for the identification of LBDs. Using this approach we were able to identify prodromal LBDs with 74% accuracy and showed the promising potential of computerized objective and non-invasive diagnosis of LBDs based on the assessment of graphomotor and handwriting difficulties.
ER -
GALAZ, Zoltan, Jiri MEKYSKA, Jan MUCHA, Vojtech ZVONCAK, Zdenek SMEKAL, Marcos FAUNDEZ-ZANUY, Luboš BRABENEC, Ivona MORÁVKOVÁ and Irena REKTOROVÁ. Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. In Cristina Carmona-Duarte, Moises Diaz, Miguel A. Ferrer, Aythami Morales. \textit{Intertwining Graphonomics with Human Movements}. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2022, p.~255-268. ISBN~978-3-031-19744-4. Available from: https://dx.doi.org/10.1007/978-3-031-19745-1\_{}19.
|
