Machine learning models for Parkinson's disease detection and stage classification based on spatial-temporal gait parameters.
Background: Parkinson's disease (PD) is a chronic and progressive neurodegenerative disease with no cure, presenting a challenging diagnosis and management. However, despite a significant number of criteria and guidelines have been proposed to improve the diagnosis of PD and to determine the PD stag...
| Publicado en: | Gait & Posture Vol. 98; pp. 49 - 56 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Oct2022
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| Acceso en línea: | Ver este registro en EBSCOhost |