TY - GEN
T1 - Additive step artifact correction (ASAC) algorithm
AU - Sui, X.
AU - Yin, L.
AU - Selesnick, I. W.
AU - Graber, H. L.
AU - Al Abdi, R.
AU - Barbour, R. L.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84988228059&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988228059&partnerID=8YFLogxK
U2 - 10.1109/SPMB.2014.7002955
DO - 10.1109/SPMB.2014.7002955
M3 - Conference contribution
AN - SCOPUS:84988228059
T3 - 2014 IEEE Signal Processing in Medicine and Biology Symposium, IEEE SPMB 2014 - Proceedings
BT - 2014 IEEE Signal Processing in Medicine and Biology Symposium, IEEE SPMB 2014 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Signal Processing in Medicine and Biology Symposium, IEEE SPMB 2014
Y2 - 13 December 2014 through 13 December 2014
ER -