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

Sprache:: Englisch

Zeitrahmen der Veröffentlichung:: 1 Hefte pro Jahr
Fachgebiete der Zeitschrift:: Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere

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

Yumeng Li

Zixuan Chen

Yulin Deng

Online veröffentlicht: 05. Aug. 2024

Eingereicht: 22. März 2024

Akzeptiert: 19. Juni 2024

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

Schlüsselwörter<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.

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