Reduction of periodic motion artifacts from impedance plethysmography

Abstract

Motion artifact reduction is a fundamental part in portable monitoring of physiological signals. Here, the performance of three different motion artifact reduction methods, independent component analysis, least mean square filters and normalized least mean square filters are compared when applied to the impedance plethysmography signal. The results show that the performance of each method depends on the type of motion artifact it is being applied to, and that none of the methods universally performs better than the other ones. As a result, authors suggest that the motion artifact reduction algorithm should be designed based on the nature of the motion artifact.