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fNIRS Artifact Removal Using Selective Source Separation

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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.

© 2021 The Author(s)

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Yuanyuan Gao, Lora Cavuoto, Pingkun Yan, Uwe Kruger, Steven Schwaitzberg, Suvranu De, and Xavier Intes
BM2C.7 Optics and the Brain (BRAIN) 2020

Preprocessing fNIRS data using the Cumulative Curve Fitting Approximation algorithm

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