Article

Reconstructing damaged fNIRS signals with a generative deep learning model

2024-08-28

Abstract excerpt

<title>Abstract</title> <p>Functional near-infrared spectroscopy (fNIRS) technology offers a promising avenue for assessing brain function across participant groups. Despite its numerous advantages, the fNIRS technique often faces challenges such as noise contamination and motion artifacts from data collection. Methods for improving fNIRS signal quality are urgently needed, especially with the development of wear...

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Literature Corpus work: 7f8e9193-71b8-5cf8-87d0-f5890a2346d3
DOI: 10.21203/rs.3.rs-4807209/v1

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