Comparing Methods of Feature Extraction of Brain Activities for Octave Illusion Classification Using Machine Learning

The aim of this study was to find an efficient method to determine features that characterize octave illusion data. Specifically, this study compared the efficiency of several automatic feature selection methods for automatic feature extraction of the auditory steady-state responses (ASSR) data in b...

Descripción completa

Detalles Bibliográficos
Autores principales: Pilyugina, Nina, Tsukahara, Akihiko, Tanaka, Keita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512176/
https://www.ncbi.nlm.nih.gov/pubmed/34640727
http://dx.doi.org/10.3390/s21196407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512176/
https://www.ncbi.nlm.nih.gov/pubmed/34640727
http://dx.doi.org/10.3390/s21196407

Ejemplares similares