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

Language:: English

Publication timeframe:: 1 times per year
Journal Subjects:: Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other

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

Yumeng Li

Zixuan Chen

Yulin Deng

Published Online: Aug 05, 2024

Received: Mar 22, 2024

Accepted: Jun 19, 2024

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

Keywords<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.

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