Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease

This research paper focuses on the analysis of various segments of Luria's alternating series drawing test as a diagnostic support for Parkinson's disease. Digitization of drawing tests has allowed capturing pen movement parameters imperceptible to the naked eye, enabling precise neurologi...

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Vydané v:	Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) s. 1066 - 1071
Hlavní autori:	Valla, Elli, Laur, Henry, Nomm, Sven, Medijainen, Kadri, Taba, Pille, Toomela, Aaro
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 15.12.2023
Predmet:	Deep learning handwriting dataset Kinematics Luria's alternating series Machine learning algorithms Parkinson's disease Sensitivity Spirals Writing yolo
ISSN:	1946-0759
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