公开(公告)号：US10980484B2

公开(公告)日：2021-04-20

申请号：US15937295

申请日：2018-03-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Kiran Bynam ,  So Young Lee ,  Sujit Jos ,  Gorish Aggarwal ,  Srikanth Mallavarapu Rama

IPC: A61B5/1455 ,  A61B5/00 ,  G16H40/63 ,  A61B5/145

Abstract: A method of extracting glucose feature, a method for monitoring glucose using near-infrared (NIR) spectroscopy and a glucose monitoring device are provided. The method comprising: removing noise from a near-infrared (NIR) data; extracting a glucose signal from the NIR data; and removing temporal drift components from the extracted glucose signal.

公开(公告)号：US11504070B2

公开(公告)日：2022-11-22

申请号：US16282422

申请日：2019-02-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sujit Jos ,  Srikanth Mallavarapu Rama ,  Kiran Bynam ,  So Young Lee ,  Gorish Aggarwal

IPC: A61B5/00 ,  A61B5/1455 ,  G01N21/27 ,  G01N21/359 ,  A61B5/145

Abstract: A method of estimating concentration of a blood compound may include: removing a baseline drift from Near-Infrared (NIR) spectroscopy data to obtain drift-free spectral features; obtaining a set of global features based on the drift-free spectral features; and estimating the concentration of the blood compound by regression using the set of global features.

公开(公告)号：US11141083B2

公开(公告)日：2021-10-12

申请号：US16183325

申请日：2018-11-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Gorish Aggarwal ,  Kiran Bynam ,  Sujit Jos ,  So Young Lee

IPC: A61B5/1455 ,  A61B5/145 ,  A61B5/00 ,  G01N33/49 ,  G06N20/00 ,  G16H50/20 ,  G16H10/40

Abstract: A method for obtaining blood glucose concentration using near infrared spectroscopy (NIR) data is provided. The method includes obtaining, by an independent component analysis (ICA) temporal module, orthogonal pure spectra from human NIR spectra; performing, by a processing module, one or more preprocessings and drift removal on the human NIR spectra and the orthogonal pure spectra to obtain preprocessed spectra; and obtaining, by a regression block, the blood glucose concentration from the preprocessed spectra.

公开(公告)号：US20190261928A1

公开(公告)日：2019-08-29

申请号：US16282422

申请日：2019-02-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sujit Jos ,  Srikanth Mallavarapu Rama ,  Kiran Bynam ,  So Young Lee ,  Gorish Aggarwal

IPC: A61B5/00 ,  A61B5/1455

Abstract: A method of estimating concentration of a blood compound may include: removing a baseline drift from Near-Infrared (NIR) spectroscopy data to obtain drift-free spectral features; obtaining a set of global features based on the drift-free spectral features; and estimating the concentration of the blood compound by regression using the set of global features.

公开(公告)号：US11796465B2

公开(公告)日：2023-10-24

申请号：US17163857

申请日：2021-02-01

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sujit Jos ,  Kiran Bynam ,  Ibrahim A ,  Rahul Arora ,  Gorish Aggarwal ,  So Young Lee

IPC: G01N21/3577 ,  G01N21/359 ,  G01N33/49 ,  G06N5/04 ,  G06N20/00

CPC classification number: G01N21/3577 ,  G01N21/359 ,  G01N33/49 ,  G06N5/04 ,  G06N20/00 ,  G01N2201/12

Abstract: A method of predicting a blood compound concentration of a target may include receiving, by a system, spectral data associated with a region of the target, using near-infrared (NIR) spectroscopy. The method may include classifying, by the system, each of the plurality of data instances of the spectral data to one of a plurality of labelled classes. The method may include obtaining, by the system, one or more best fit models from a plurality of prediction models based on the classification. The method may include determining, by the system, blood compound concentration values corresponding to each of the one or more best fit models. The method may include predicting, by the system, the blood compound concentration of the target using the blood compound concentration values predicted using the best fit models.

公开(公告)号：US11089981B2

公开(公告)日：2021-08-17

申请号：US16459785

申请日：2019-07-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Gorish Aggarwal ,  Kiran Bynam ,  So Young Lee ,  Ibrahim A ,  Sujit Jos ,  Rahul Arora

IPC: A61B5/1455 ,  A61B5/145 ,  A61B5/00 ,  G06N20/20 ,  A61B5/1495

Abstract: A method includes processing near infrared spectroscopy (NIR) spectra and pure spectra, to obtain a preprocessed NIR spectra, wherein the preprocessed NIR spectra includes any one or any combination of a training data of a plurality of subjects, a calibration data of a test subject and a validation data of the test subject, extracting a dominant feature set from the preprocessed NIR spectra, wherein the dominant feature set includes at least one preprocessed NIR spectrum corresponding to each of the training data, the calibration data and the validation data, and determining a blood glucose concentration of the test subject, using the training data of the plurality of subjects and based on the extracted dominant feature set.

公开(公告)号：US10918320B2

公开(公告)日：2021-02-16

申请号：US15970461

申请日：2018-05-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sujit Jos ,  Kiran Bynam ,  So Young Lee ,  Gorish Aggarwal ,  Srikanth Mallavarapu Rama

IPC: A61B5/1455 ,  G01J3/28 ,  A61B5/145 ,  A61B5/00 ,  G01N21/359

Abstract: A method for predicting a blood glucose level using a near-Infrared (NIR) spectrometer is provided. The method may include obtaining a feature set from an NIR glucose spectra; and predicting glucose values from the feature set based on a binary classification of the NIR glucose spectra and an in-class prediction of glucose using Machine Learning Regression.

公开(公告)号：US20200022627A1

公开(公告)日：2020-01-23

申请号：US16459785

申请日：2019-07-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Gorish Aggarwal ,  Kiran Bynam ,  So Young Lee ,  Ibrahim A ,  Sujit Jos ,  Rahul Arora

IPC: A61B5/145 ,  A61B5/00 ,  G06N20/20 ,  A61B5/1495

Abstract: A method includes processing near infrared spectroscopy (NIR) spectra and pure spectra, to obtain a preprocessed NIR spectra, wherein the preprocessed NIR spectra includes any one or any combination of a training data of a plurality of subjects, a calibration data of a test subject and a validation data of the test subject, extracting a dominant feature set from the preprocessed NIR spectra, wherein the dominant feature set includes at least one preprocessed NIR spectrum corresponding to each of the training data, the calibration data and the validation data, and determining a blood glucose concentration of the test subject, using the training data of the plurality of subjects and based on the extracted dominant feature set.