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

Idioma:: Inglés

Calendario de la edición:: 1 veces al año
Temas de la revista:: Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros

RSS Feed de revista

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

Yumeng Li

Zixuan Chen

Yulin Deng

Publicado en línea: 05 ago 2024

Recibido: 22 mar 2024

Aceptado: 19 jun 2024

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

Palabras clave<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.

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