Application of Deep Learning in the Identification of Cerebral Hemodynamics Data Obtained from Functional Near-Infrared Spectroscopy: A Preliminary Study of Pre- and Post-Tooth Clenching Assessment

In fields using functional near-infrared spectroscopy (fNIRS), there is a need for an easy-to-understand method that allows visual presentation and rapid analysis of data and test results. This preliminary study examined whether deep learning (DL) could be applied to the analysis of fNIRS-derived br...

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Detalles Bibliográficos
Autores principales: Takagi, Shinya, Sakuma, Shigemitsu, Morita, Ichizo, Sugimoto, Eri, Yamaguchi, Yoshihiro, Higuchi, Naoya, Inamoto, Kyoko, Ariji, Yoshiko, Ariji, Eiichiro, Murakami, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693464/
https://www.ncbi.nlm.nih.gov/pubmed/33126595
http://dx.doi.org/10.3390/jcm9113475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693464/
https://www.ncbi.nlm.nih.gov/pubmed/33126595
http://dx.doi.org/10.3390/jcm9113475

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