fNIRS artifact removal using selective source separation

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationOptics and the Brain, BRAIN 2021
PublisherThe Optical Society
ISBN (Electronic)9781557528209
Publication statusPublished - 2021
Externally publishedYes
EventOptics and the Brain, BRAIN 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021 - Virtual, Online, United States
Duration: 2021 Apr 122021 Apr 16

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceOptics and the Brain, BRAIN 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021
Country/TerritoryUnited States
CityVirtual, Online
Period21/4/1221/4/16

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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