Multimodal Assessment of Parkinson’s Disease Patients Using Information from Speech, Handwriting, and Gait
ABSTRACT : The automatic analysis of different bio-signals from patients with Parkinson’s disease is a highly relevant topic that has been addressed by the research community within several years. Identifying bio-markers for early and differential diagnosis, severity assessment, and response to ther...
- Autores:
-
Vásquez Correa, Juan Camilo
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2023
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/36382
- Acceso en línea:
- https://hdl.handle.net/10495/36382
- Palabra clave:
- Enfermedad de parkinson
Parkinson Disease
Aprendizaje automático
Machine Learning
Sistemas de procesamiento de la voz
Speech processing systems
Procesamiento de señales
Signal processing
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/4.0/