A benchmarking framework for improving machine learning with fNIRS neuroimaging data

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A benchmarking framework for improving machine learning with fNIRS neuroimaging data

Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technology that presents attractive advantages such as a good compromise between temporal resolution, spatial resolution, and portability. Thanks to its properties and relative robustness to motion, it is often used in natu...

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Bibliographic Details
Main Author:	Benerradi, Johann
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2024
Subjects:	fNIRS machine learning mental workload
Online Access:	https://eprints.nottingham.ac.uk/78005/

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