Additive step artifact correction (ASAC) algorithm

This abstract address the problem of removing step artifacts from a predominantly low-pass signal. In particular, we consider the case where the step artifacts have an appreciable rise time rather than exhibiting instantaneous step discontinuities. The problem arises in certain physiological measurements, such as near infrared spectroscopic (NIRS) time-series imaging. NIRS is an attractive non-invasive cortical imaging technique [1]. However, this kind of step artifact, caused by detection approach, is one of the difficulties in breast NIRS data analysis.