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Functional near-infrared spectroscopy (fNIRS) plays an imperative role for studying hemodynamic measurement of brain. Event related task measurement mostly depends on the effect size (ES) of fNIRS data. The noisy fNIR signal is an obstacle to estimate the precise ES of such measurement. Though Savitzky-Golay and Moving Average filters are often used for de-noising the fNIR signal, they have some limitations...
In this paper, a series of numerical analysis is performed on the functional near infrared spectroscopy (FNIRS) data to find out the appropriate feature for investigating the hemodynamic response of human brain. The main objective of this work is to identify the exact feature from FNIR data which can distinguish the resting state and active state of brain. We have analyzed various types of statistical...
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