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

Lingua:: Inglese

Frequenza di pubblicazione:: 1 volte all'anno
Argomenti della rivista:: Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro

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

Yumeng Li

Zixuan Chen

Yulin Deng

Pubblicato online: 05 ago 2024

Ricevuto: 22 mar 2024

Accettato: 19 giu 2024

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

Parole chiave<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.

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