End-to-End Parkinson’s Disease Detection Using a Deep Convolutional Recurrent Network
ABSTRACT : Deep Learning (DL) has enabled the development of accurate computational models to evaluate and monitor the neurological state of different disorders including Parkinson’s Disease (PD). Although researchers have used different DL architectures including Convolutional Neural Networks (CNN)...
- Autores:
-
Ríos Urrego, Cristian David
Moreno Acevedo, Santiago Andrés
Nöth, Elmar
Orozco Arroyave, Juan Rafael
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_5794
- Fecha de publicación:
- 2022
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/34247
- Acceso en línea:
- https://hdl.handle.net/10495/34247
- Palabra clave:
- Parkinson Disease
Enfermedad de Parkinson
Speech Recognition Software
Software de Reconocimiento del Habla
Memoria a Corto Plazo
Memory, Short-Term
Redes neurales (computadores)
Neural networks (Computer science)
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/