Deep learning in the assessment of movement disorders in Parkinson’s disease

Beijing Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Medical Technology, Beijing Institute of TechnologyBeijing, China

Chen, Zixuan

Beijing Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Medical Technology, Beijing Institute of TechnologyBeijing, China

Deng, Yulin

Beijing Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Medical Technology, Beijing Institute of TechnologyBeijing, China

Langue:: Anglais

Périodicité:: 1 fois par an
Sujets de la revue:: Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres

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Deep learning in the assessment of movement disorders in Parkinson’s disease

Yumeng Li

Zixuan Chen

Yulin Deng

Publié en ligne: 05 août 2024

Reçu: 22 mars 2024

Accepté: 19 juin 2024

DOI: https://doi.org/10.2478/amns-2024-1896

Mots clés<kwd>Kinect algorithm</kwd>, <kwd>Dynamic time regularization</kwd>, <kwd>Deep learning</kwd>, <kwd>Movement disorder assessment</kwd>, <kwd>Parkinson’s disease</kwd>

© 2024 Yumeng Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
<kwd>Kinect algorithm</kwd>, <kwd>Dynamic time regularization</kwd>, <kwd>Deep learning</kwd>, <kwd>Movement disorder assessment</kwd>, <kwd>Parkinson’s disease</kwd>