Preprocessing fNIRS data using the Cumulative Curve Fitting Approximation algorithm

Patashov Dmitry; Patashov Dmitry; Patashov Dmitry; Menahem Yakir; Menahem Yakir; Menahem Yakir; Kameda Yoshinari; Kameda Yoshinari; Goldstein Dmitry; Goldstein Dmitry; Balberg Michal; Balberg Michal

doi:10.1364/BRAIN.2022.BM2C.7

Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)
Technical Digest Series (Optica Publishing Group, 2022),
paper BM2C.7
•https://doi.org/10.1364/BRAIN.2022.BM2C.7

Preprocessing fNIRS data using the Cumulative Curve Fitting Approximation algorithm

Patashov Dmitry, Menahem Yakir, Kameda Yoshinari, Goldstein Dmitry, and Balberg Michal

Optics and the Brain 2022

Fort Lauderdale, Florida United States
24–27 April 2022
ISBN: 978-1-957171-03-6

From the session
Functional Neuroimaging (BM2C)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
P. Dmitry, M. Yakir, K. Yoshinari, G. Dmitry, and B. Michal, "Preprocessing fNIRS data using the Cumulative Curve Fitting Approximation algorithm," in Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series (Optica Publishing Group, 2022), paper BM2C.7.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Get Video
Citation alert
Save article

Abstract

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.

PDF Article | Presentation Video

More Like This

fNIRS Artifact Removal Using Selective Source Separation

Patashov Dmitry, Menahem Yakir, Kameda Yoshinari, Goldstein Dmitry, and Balberg Michal
BF1B.2 Optics and the Brain (BRAIN) 2021

Closed Loop Feedback fNIRS Brain Computer Interface for Increasing Classification Accuracy in a Left Versus Right Hand Movement Task

Antonio Ortega-Martinez, Alexander von Lühmann, David A. Boas, and Meryem A. Yücel
BM2C.8 Optics and the Brain (BRAIN) 2022

Application of structured sparse multiset canonical correlation analysis in characterization of human action observation network using concurrent EEG-fNIRS

Hadis Dashtestani, Helga O. Miguel, and Amir H. Gandjbakhche
JTu3A.4 Clinical and Translational Biophotonics (Translational) 2022

Previous Article Next Article

Presentation Video

Presentation video access is available to:

Optica Publishing Group subscribers
Technical meeting attendees
Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads