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엔트로피 기반 불균형 광전극 결정 규칙 및 웨이블릿 회귀 인공 신경망을 이용한 동잡음 제거 기법

Title
엔트로피 기반 불균형 광전극 결정 규칙 및 웨이블릿 회귀 인공 신경망을 이용한 동잡음 제거 기법
Translated Title
METHOD AND APPARATUS FOR REMOVING NOISE FROM MULTI-CHANNEL FNIRS
Inventors
이기현안진웅진상현
DGIST Inventors
이기현; 안진웅; 진상현
Country
US
Application Date
2018-07-06
Application No.
16-028678
Registration Date
2021-07-13
Registration No.
11058359
Assignee
(재)대구경북과학기술원(100/100)
URI
http://hdl.handle.net/20.500.11750/13847
Abstract

Disclosed is a method of removing motion artifacts from functional near-infrared spectroscopy (fNIRS) signals. The method includes: disposing N optodes at a plurality of locations on a scalp, and forming a plurality of channels between the N optodes; calculating a correlation coefficient difference index of a neighbor channel around each receiver optode, and detecting a receiver optode in which a motion artifact has occurred based on the correlation coefficient difference index; and removing motion artifacts based on the detected receiver optode and an arrangement structure of the N optodes.

Related Researcher
  • Author An, Jinung Brain Robot Augmented InteractioN(BRAIN) Laboratory
  • Research Interests
Files:
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Collection:
Convergence Research Center for Wellness3. Patents
Division of Intelligent RoboticsBrain Robot Augmented InteractioN(BRAIN) Laboratory3. Patents
Division of Intelligent Robotics3. Patents


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