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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Main Authors: | Gabrieli, Giulio, Bizzego, Andrea, Neoh, Michelle Jin Yee, Esposito, Gianluca |
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Other Authors: | School of Social Sciences |
Format: | Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/152897 |
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Institution: | Nanyang Technological University |
Language: | English |
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