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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Detalhes bibliográficos
Principais autores: Giulio Gabrieli, Andrea Bizzego, Michelle Jin Yee Neoh, Gianluca Esposito
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2021-10-01
coleção:Applied Sciences
Assuntos:
Acesso em linha:https://www.mdpi.com/2076-3417/11/20/9531