TY - GEN
T1 - Preprocessing fNIRS data using the Cumulative Curve Fitting Approximation algorithm
AU - Dmitry, Patashov
AU - Yakir, Menahem
AU - Yoshinari, Kameda
AU - Dmitry, Goldstein
AU - Michal, Balberg
N1 - Publisher Copyright:
© 2022 The Author(s).
PY - 2022
Y1 - 2022
N2 - Standard fNIRS preprocessing procedures greatly affect the analysis of the hemodynamic response function (HRF). Using CCFA preprocessing to remove the contamination contributions, provides improved results in low SNR, when compared to commonly used methods.
AB - Standard fNIRS preprocessing procedures greatly affect the analysis of the hemodynamic response function (HRF). Using CCFA preprocessing to remove the contamination contributions, provides improved results in low SNR, when compared to commonly used methods.
UR - http://www.scopus.com/inward/record.url?scp=85136381504&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85136381504&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85136381504
T3 - Optics InfoBase Conference Papers
BT - Optics and the Brain, BRAIN 2022
PB - Optica Publishing Group (formerly OSA)
T2 - Optics and the Brain, BRAIN 2022
Y2 - 24 April 2022 through 27 April 2022
ER -