Key result
A computational method based on an optical flow algorithm successfully detected regions of interest and temporal interactions between channels in functional near infrared spectroscopy.
Population
Human subjects undergoing near infrared (NIR) spectroscopy for pain assessment
Comparison
Computational method based on an optical flow… vs Visual inspection and cross correlation analysis
Design
Other
Authors
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May enhance NIR ROI detection for cortical pain mapping; leaves open clinical adoption pending larger validation.
An optical flow-based computational method can successfully detect regions of interest in near-infrared spectroscopy, potentially aiding in objective pain assessment.
Rojas et al. (2016) studied Pain. Computational method based on an optical flow algorithm was evaluated on Detection of regions of interest in near infrared (NIR) spectroscopy. A computational method based on an optical flow algorithm successfully detected regions of interest and temporal interactions between channels in functional near infrared spectroscopy.
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