fNIRS-QC : crowd-sourced creation of a dataset and machine learning model for fNIRS quality control

fNIRS-QC : crowd-sourced creation of a dataset and machine learning model for fNIRS quality control

Despite technological advancements in functional Near Infra-Red Spectroscopy (fNIRS) and a rise in the application of the fNIRS in neuroscience experimental designs, the processing of fNIRS data remains characterized by a high number of heterogeneous approaches, implicating the scientific reproducib...

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Bibliographic Details
Main Authors: Gabrieli, Giulio, Bizzego, Andrea, Neoh, Michelle Jin Yee, Esposito, Gianluca
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2021
Subjects:
Social sciences::Psychology::Experimental psychology
Science::Medicine::Computer applications
fNIRS
Machine Learning
Online Access:https://hdl.handle.net/10356/152897
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/152897

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