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Physiological Contamination and Headset Stability during Whole-body Movements: Validation of the MedelOpt® fNIRS System

Authors: Mullier, Emeline; Guérin, Ségolène M. R.; Larrouquère, Jérémy; Delevoye-Turrell, Yvonne N.; Vincent, Marion A.;

Physiological Contamination and Headset Stability during Whole-body Movements: Validation of the MedelOpt® fNIRS System

Abstract

Functional near-infrared spectroscopy (fNIRS) long channels signals are contaminated by motion artifacts and extra-cerebral tissues activity during motor production. In this study, we aimed at quantifying these limitations using an fNIRS continuous-wave system during whole-body movement (i.e., cycling task). Using motion-capture recordings, physiological monitoring and short channels, our results showed a high stability of the headset during whole-body movements production and demonstrated the ability of short channels to capture physiological extra-cerebral activity.

{"references": ["https://doi.org/10.1016/j.neuroimage.2020.117597", "https://doi.org/10.1016/j.neuroimage.2013.05.004"]}

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[SCCO] Cognitive science

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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