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

fYear

2014

fDate

13-13 Dec. 2014

Firstpage

1

Lastpage

1

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing in Medicine and Biology Symposium (SPMB), 2014 IEEE

Conference_Location

Philadelphia, PA

Type

conf

DOI

10.1109/SPMB.2014.7002955

Filename

7002955