Trial on Low-Pass Filter Design for Bio-Signal Based on Nonlinear Analysis

Abstract

The nonlinearity of the mathematical model describing the cerebral blood flow dynamics and the body sway in the prefrontal cortex was investigated experimentally. The measured bio-signal data were smoothed with each low-pass filter. The signal was set to 0.1-2 Hz for the cerebral blood flow dynamics and to 0.1-20 Hz for the body sway. Nonlinearity was observed in the biological signal when the cutoff frequency of the low-pass filtering was 0.2 Hz or less, and while the body sway was 0.5 Hz or less, and was considered as a stochastic differential equations.