Objective To study the application of dual-frequency impedance pneumography and adaptive filter for reducing motion artifacts in respiration monitoring.
Abstract: Objective To study the application of dual-frequency impedance pneumography and adaptive filter for reducing motion artifacts in respiration monitoring.
On the basis of hyperstable theory and adaptive inverse control theory, a new adaptive control algorithm of overcoming the subject disturbance was proposed.
Software subdivision and "virtual frequency conversion" technology were adopted in this solution, which realized multigrade, adaptive subdivided drive in operation of stepping motor.
Numerical simulation studies indicate that the adaptive filter is a powerful noise suppresser for correlated interferences, especially for those with amplitude changing and time delay.
A new variable step-size LMS adaptive filtering algorithm is presented, which makes use of the intercorrelation function of the relative output error signal to control the new variable step-size.