Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks
author
supervisor
statement of authorship
Elli Valla ; [supervisor: Sven Nõmm, co-supervisor: Aaro Toomela ; Tallinn University of Technology, School of Information Technologies, Department of Software Science]
type of dissertation
doktoritöö
university/scientific institution
Tallinna Tehnikaülikool
location of publication
Tallinn
publisher
year of publication
pages
186 p. : ill
series
Tallinn University of Technology. Doctoral thesis = Tallinna Tehnikaülikool. Doktoritöö ; 26/2025
subject term
subject of form
ISSN
2585-6898
2585-6901 (PDF)
ISBN
978-9916-80-306-6 (PDF)
978-9916-80-305-9
notes
Autori publikatsioonide nimekiri leheküljel 7
Bibliogr. lk. 67-76
Kokkuvõte eesti keeles
Ilmunud ka võrguressursina
Autori CV inglise ja eesti keeles, lk. 182-186
Thesis (Ph.D. in Computer Science) : Tallinn University of Technology, 2025
url
scientific publication
teaduspublikatsioon
classifier
TalTech department
language
inglise
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- Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning
- Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease
Valla, E. Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks. Tallinn : TalTech Press, 2025. 186 p. : ill. (Tallinn University of Technology. Doctoral thesis = Tallinna Tehnikaülikool. Doktoritöö ; 26/2025).