Denoising Near Infrared Spectroscopy Signals with Principal Component Analysis Improves the Detection of Metabolic Foci

摘要

In this work Principal Component Analysis (PCA) was applied, in order to denoise Near- InfraRed Spectroscopy data recorded from 10 subjects performing visual tasks at different flickering frequencies. Due to the poor signal quality, indeed, the sole appli