METHOD FOR DETECTING AND REMOVING MOTION ARTIFACT OF FUNCTIONAL NEAR-INFRARED SPECTROSCOPY SIGNAL

WIPO Patent Application WO/2024/085514

A1

The present invention relates to a method for detecting and removing a motion artifact of a functional near-infrared spectroscopy signal. Disclosed are a method and a device for detecting and removing a motion artifact of a near-infrared spectroscopy signal in real time on the basis of an artificial neural network model, the method comprising: a conversion step of converting time series data of functional near-infrared spectroscopy signals measured through a plurality of channels from a target into image data; a detection step of detecting whether noise is present in the converted image data using a pre-trained detection model; and a removal step of removing noise from image data where noise has been detected using a pre-trained noise removal model.

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CHOI EUN-JEONG (KR)
LEE SEUNG HYUN (KR)
PAIK SEUNG HO (KR)
KIM BEOP-MIN (KR)
PHILLIPS ZEPHANIAH (KR)

PCT/KR2023/015478

April 25, 2024

October 10, 2023

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UNIV KOREA RES & BUS FOUND (KR)

A61B5/00; G06N3/08; G16H30/40; G16H50/20

KR20140061079A	2014-05-21
JP4871856B2	2012-02-08
JP6028100B2	2016-11-16
KR20140041327A	2014-04-04
KR20190073330A	2019-06-26

CHOI et al. 2D image based-CNN Model for classification of Motion Artifacts in fNIRS. fNIRS 2022. 11 October 2022, inner pp.:1-75.

SRB IP & LAW FIRM (KR)

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