Title :
Additive step artifact correction (ASAC) algorithm
Author :
Sui, X. ; Yin, Lingzhi ; Selesnick, I.W. ; Graber, H.L. ; Al abdi, R. ; Barbour, R.L.
Author_Institution :
Polytech. Sch. of Eng., Dept. of Electr. & Comput. Eng., New York Univ., New York, NY, USA
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.
Keywords :
biomedical optical imaging; data analysis; infrared spectroscopy; low-pass filters; medical signal processing; time series; additive step artifact correction algorithm; attractive noninvasive cortical imaging technique; breast NIRS data analysis; detection approach; instantaneous step discontinuities; low-pass signal; near infrared spectroscopic time-series imaging; physiological measurements; removing step artifacts; Abstracts; Additives; Computational modeling; Data models; Imaging; Mathematical model; Noise reduction;
Conference_Titel :
Signal Processing in Medicine and Biology Symposium (SPMB), 2014 IEEE
Conference_Location :
Philadelphia, PA
DOI :
10.1109/SPMB.2014.7002955
