MEASUREMENT OBJECT ANALYSIS METHOD AND APPARATUS USING ARTIFICIAL NEURAL NETWORK DEEP LEARNING TECHNIQUE, AND LEARNING METHOD AND SYSTEM THEREFOR

WIPO Patent Application WO/2019/189977

A1

The present invention relates to a measurement object analysis system using an artificial neural network deep learning technique, the system comprising: a biometric information measurement device; and a biometric information analyzing artificial intelligence-based deep learning server, wherein the server comprises a signal acquisition unit for acquiring a signal generated through an electrochemical reaction that occurs when blood collected through the biometric information measurement device is injected into a sensor including a pair of electrodes, a signal processing unit for pre-processing, as a signal for artificial intelligence deep learning, the signal acquired by the signal acquisition unit, a biometric information measurement algorithm generation unit which uses deep learning artificial neural network technique for a biometric information measurement algorithm optimized using the signal having been processed through the signal processing unit, and an optimized algorithm result providing unit for providing the optimized biometric information measurement algorithm to the biometric information measurement device.

KANG BYEONG KEUN (KR)
LEE MYEONGHO (KR)
LEE SEOK-WON (KR)
NAM HAKHYUN (KR)
CHA SEONGHUN (KR)

PCT/KR2018/004088

October 03, 2019

April 06, 2018

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I SENS INC (KR)

A61B5/00; A61B5/145; G06N3/08

WO2017116505A1

2017-07-06

KR100757297B1	2007-09-11
KR20160032974A	2016-03-25
KR20160124703A	2016-10-28
KR20130050707A	2013-05-16

FDA NEW GUIDANCE, 2016
See also references of EP 3777653A4

YOU ME PATENT AND LAW FIRM (KR)

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