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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...
Autores principales: | Takagi, Shinya, Sakuma, Shigemitsu, Morita, Ichizo, Sugimoto, Eri, Yamaguchi, Yoshihiro, Higuchi, Naoya, Inamoto, Kyoko, Ariji, Yoshiko, Ariji, Eiichiro, Murakami, Hiroshi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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