Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study

摘要: The sensitivity of near-infrared spectroscopy (NIRS) to evoked brain activity is reduced by physiological interference in at least two locations: 1. the superficial scalp and skull layers, 2. tissue itself. These interferences are generally termed as "global interferences" or "systemic interferences," arise from cardiac activity, respiration, other homeostatic processes. We present a novel method for global reduction real-time recovery based on combination multiseparation probe configuration adaptive filtering. Monte Carlo simulations demonstrate that this can be effective reducing recovering otherwise obscured activity. also layers major component interference. Thus, measurement layer hemodynamics (e.g., using short source-detector separation) makes good reference cancellation. adaptive-filtering-based algorithm shown resistant errors position information well differential pathlength factor (DPF). technique performed real time, an important feature required applications such localization, biofeedback, potential neuroprosthetic devices.