InclusionStudy
This dataset quantifies the impact of hair and skin characteristics on functional near-infrared spectroscopy (fNIRS) signal quality, with a focus on enhancing inclusivity in neuroimaging research. The study examines how individual physiological variations affect fNIRS measurements across diverse participant populations, providing empirical evidence for optimizing signal acquisition and preprocessing in this neuroimaging modality.
- Size
- 1.38 GB
- Updated
- Jun 18, 2026