Title :
Epsilon-Tube Filtering: Reduction of High-Amplitude Motion Artifacts From Impedance Plethysmography Signal
Author :
Ansari, Sardar ; Ward, Kevin ; Najarian, Kayvan
Author_Institution :
Dept. of Comput. Sci., Virginia Commonwealth Univ., Richmond, VA, USA
Abstract :
The impedance plethysmography (IP) has long been used to monitor respiration. The IP signal is also suitable for portable monitoring of respiration due to its simplicity. However, this signal is very susceptible to motion artifact (MA). As a result, MA reduction is an indispensable part of portable acquisition of the IP signal. Often, the amplitude of the MA is much larger than the amplitude of the respiratory component in the IP signal. This study proposes a novel filtering method to remove the high-amplitude MA´s from the IP signal. The proposed method combines the idea of ε-tube loss function and an autoregressive exogenous model to estimate the MA while leaving the periodic respiratory component of the IP signal intact. Also, a regularization method is used to find the best filter coefficients that maximize the regularity of the output signal. The results indicate that the proposed method can effectively remove the MA, outperforming the popular MA reduction methods. Several different performance measures are used for the comparison and the differences are found to be statistically significant.
Keywords :
autoregressive processes; electric impedance; filtering theory; medical signal processing; motion estimation; plethysmography; pneumodynamics; ε-tube loss function; IP signal; MA reduction method; autoregressive exogenous model; epsilon-tube filtering method; high-amplitude motion artifacts; impedance plethysmography signal; periodic respiratory component; regularization method; Biomedical measurement; Blood; Electrodes; IP networks; Informatics; Plethysmography; Voltage measurement; Autoregressive exogenous model; epsilon-tube; impedance plethysmography; motion artifact reduction; portable monitoring of respiration;
Journal_Title :
Biomedical and Health Informatics, IEEE Journal of
DOI :
10.1109/JBHI.2014.2316287