Physiological Noise Removal from fNIRS Signals

In the present study we report on the reduction of physiological rhythms in hemodynamic ((de)oxy-Hb) signals recorded with functional near-infrared spectroscopy (fNIRS). We investigated the use of three different signal processing approaches (spatial filtering, adaptive filtering and transfer function (TF) models) to reduce the influence of respiratory and blood pressure rhythms on the hemodynamic responses. The results show that all three methods are promising for reducing the influence from oxy-Hb signals, but only TF models fit for deoxy-Hb signals.

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