Extracting heart rate variability from nirs signals for an explainable detection of learning disorders

Artificial Intelligence (AI) has improved our ability to process large amounts of data. These tools are particularly interesting in medical contexts because they evaluate the variables from patients’ screening evaluation and disentangle the information that they contain. In this study, we propose a...

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Autores:
Arco, Juan E.
Gallego-Molina, Nicolás J.
López-Pérez, Pedro J.
Ramírez, Javier
Górriz, Juan M.
Ortiz, Andrés
Tipo de recurso:
Part of book
Fecha de publicación:
2024
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/13820
Acceso en línea:
https://hdl.handle.net/11323/13820
https://repositorio.cuc.edu.co/
Palabra clave:
Dyslexia
Explicability
Heart rate variability
Machine learning
NIRS
Signal processing
Rights
closedAccess
License
Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)