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Quantitative comparison of correction techniques for removing systemic physiological signal in functional near-infrared spectroscopy studies
Significance: Isolating task-evoked brain signals from background physiological noise (e.g., cardiac, respiratory, and blood pressure fluctuations) poses a major challenge for the analysis of functional near-infrared spectroscopy (fNIRS) data. Aim: The performance of several analytic methods to separate background physiological noise from brain activity including spatial and temporal filtering, regression, component analysis, and the use of short-separation (SS) measurements were quantitativelydoi:10.1117/1.nph.7.3.035009 fatcat:z6t5l6sdi5ds3et47etixfrjwy