Abstract

We utilized time-domain diffuse correlation spectroscopy (TD-DCS) to quantify depth-resolved blood flow changes for in vivo experiments on arm and forehead adult humans. We illustrated that conventional TD-DCS processing is incapable of estimating blood flow changes at short source-detector separations, as expected. To tackle this problem, we introduced a novel model. We recovered the relative blood flow index of the forearm muscle during the cuff occlusion challenge and human forehead under variable pressure accurately.

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