Published October 10, 2022 | Version v2

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

  • 1. Seenel Imaging, 47 rue Alphonse Fiquet, 80000 Amiens
  • 2. Univ. Lille, CNRS, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000 Lille, France

Description

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.

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Additional details

Funding

Agence Nationale de la Recherche
IRDIVE - Plateforme Recherche et Innovation dans les Environnements Visuels Numériques et Interactifs ANR-11-EQPX-0023