fNIRS Artifact Removal Using Selective Source Separation

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.2021.BF1B.2

Biophotonics Congress 2021
OSA Technical Digest (Optica Publishing Group, 2021),
paper BF1B.2
•https://doi.org/10.1364/BRAIN.2021.BF1B.2

fNIRS Artifact Removal Using Selective Source Separation

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

Optics and the Brain 2021

Washington, DC United States
12–16 April 2021
ISBN: 978-1-943580-85-9

From the session
Diffuse Optics: Basic Research (BF1B)

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P. Dmitry, M. Yakir, K. Yoshinari, G. Dmitry, and B. Michal, "fNIRS Artifact Removal Using Selective Source Separation," in Biophotonics Congress 2021, C. Boudoux, K. Maitland, C. Hendon, M. Wojtkowski, K. Quinn, M. Schanne-Klein, N. Durr, D. Elson, F. Cichos, L. Oddershede, V. Emiliani, O. Maragò, S. Nic Chormaic, N. Pégard, S. Gibbs, S. Vinogradov, M. Niedre, K. Samkoe, A. Devor, D. Peterka, P. Blinder, and E. Buckley, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper BF1B.2.

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Abstract

Selective source separation is applied to fNIRS signals, followed by targeted filtering of artifacts only within relevant sources. Then, the filtered signal is reconstructed from the filtered sources with minimal distortion and high fidelity.

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