EEG feature selection for ADHD detection in children
Attention deficit and hyperactivity disorder (ADHD) is a medical condition that affects approximately 7% of children worldwide. The diagnosis of ADHD can be done using psychological tests and electroencephalography (EEG). However, the variability and complexity of EEG signals affects its diagnostic...
- Autores:
-
Mercado-Aguirre, Isabela M.
Gutierrez-Ruiz, Karol P.
Contreras Ortiz, Sonia Helena
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9970
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9970
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11583/115830S/EEG-feature-selection-for-ADHD-detection-in-children/10.1117/12.2579625.short?SSO=1
- Palabra clave:
- Bioinformatics
Classification (of information)
Electroencephalography
Electrophysiology
Entropy
Feature extraction
Power spectrum
Regression analysisTesting
LEMB
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb