Automatic detection of Parkinson’s disease from components of modulators in speech signals

Parkinson’s Disease (PD) is the second most common neurodegenerative disorder after Alzheimer’s disease. This disorder mainly affects older adults at a rate of about 2%, and about 89% of people diagnosed with PD also develop speech disorders. This has led scientific community to research information...

Full description

Autores:

Moofarrry , Jhon Freddy
Argüello- Vélez, Patricia
Sarria-Paja, Milton

Tipo de recurso:

Article of journal

Fecha de publicación:

2020

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/8725

Acceso en línea:

https://hdl.handle.net/11323/8725
https://doi.org/10.17981/cesta.01.01.2020.05
https://repositorio.cuc.edu.co/

Palabra clave:

Modulation spectrum
Covariance features
Parkinson’s disease
Speech signals
Pattern recognition
Espectro de modulación
Enfermedad de Parkinson
Señales de voz
Reconocimiento de patrones
Características de covarianza

Rights

openAccess

License

CC0 1.0 Universal