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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- Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson’s disease
- Enhancing cerebral palsy gait analysis with 3D computer vision : a dual-camera approach
- Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning
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).