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TECHNOLOGY
"Diagnosing Diabetes: Our Top Priority"

Accurate diabetes diagnosis is 

our primary commitment.

Modeling for HbA1c Estimation

This innovative technology ensures high precision and reliability, making QuickGly a pioneering solution in diabetes diagnosis. We hold 9 registered Korean patents, 3 PCT applications, and 4 US patent applications. Our patented technology, based on four models (Beer-Lambert, Photon-Diffusion, Monte-Carlo Simulation, Machine Learning), uses PPG sensors to measure HbA1c, offering a convenient solution for diabetes diagnosis.

"Diagnosing Diabetes: Our Top Priority"


Accurate diabetes diagnosis is our primary commitment.

Modeling for HbA1c Estimation


This innovative technology ensures high precision and reliability, making QuickGly a pioneering solution in diabetes diagnosis. We hold 9 registered Korean patents, 3 PCT applications, and 4 US patent applications. Our patented technology, based on four models (Beer-Lambert, Photon-Diffusion, Monte-Carlo Simulation, Machine Learning), uses PPG sensors to measure HbA1c, offering a convenient solution for diabetes diagnosis.


QuickGly™
Non-Invasive Solution

Future-Driven Healthcare Technology

QuickGly™
Non-Invasive Solution

Future-Driven Healthcare Technologya

registered Korean patents, 3 PCT applications, and 4 US patent applications


Articles (SCI Journal)

  • "Design and Validation of a Monte Carlo Method for the Implementation of Noninvasive Wearable Devices for HbA1c Estimation Considering the Skin Effect", Micromachines 2024, 15(9), 1067 (Published: 24 August 2024)
  • “EMD-Based Noninvasive Blood Glucose Estimation from PPG Signals Using Machine Learning Algorithms”, Appl. Sci. 2024, 14(4), 1406
  • “A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data”, Sensors 2023, 23(16), 7231
  • “Noninvasive In Vivo Estimation of HbA1c Based on the Beer–Lambert Model from Photoplethysmogram Using Only Two Wavelengths,” Appl. Sci. 2023, 13(6).
  • “Noninvasive in vivo estimation of HbA1c using Monte Carlo photon propagation simulation: Application of tissue-segmented 3D MRI stacks of fingertip and wrist for wearable systems", Sensors 2023, 23, 540. (IF: 3.847) Published: 03 January 2023
  • “Optical Measurement of Molar Absorption Coefficient of HbA1c: Comparison of Theoretical and Experimental Results”, Sensors 2022, 22(21), 8179; (IF: 3.847) Published: 25 October 2022
  • “Noninvasive Quantification of In-Vivo Glycated Hemoglobin Based on Photon Diffusion Theory and Genetic Symbolic Regression Models”, IEEE Trans. on Biomedical Engineering, Volume: 69, Issue: 6, pp. 2053–2064, June 2022. (IF: 5.20)
  • “Machine-Learning-Based Noninvasive In-Vivo Estimation of HbA1c Using Photoplethysmography Signals”, Sensors 2022, 22, 2963, 12 April 2022. https://doi.org/10.3390/s22082963 (IF: 3.847)
  • “Cuffless Blood Pressure Estimation Based on Monte Carlo Simulation Using Photoplethysmography Signals”, Sensors 2022, 22(3), 1175; https://doi.org/10.3390/s22031175 (registering DOI) Published: 4 February 2022 (IF: 3.847)
  • “Quantitative Analysis of Different Multi-Wavelength PPG Devices and Methods for Noninvasive In-Vivo Estimation of Glycated Hemoglobin", Appl. Sci. 2021, 11, 6867. https://doi.org/10.3390/app11156867 Published: 26 July 2021. (IF: 2.679) 
  • “Noninvasive In Vivo Estimation of Blood-Glucose Concentration by Monte Carlo Simulation”, Sensors 2021, Volume 21, Issue 14, 4918. SCI (IF: 3.847). Published: 19 July 2021
  • “Derivation and Validation of Gray-Box Models to Estimate Non-Invasive In-vivo Percentage Glycated Hemoglobin using Digital Volume Pulse Waveform“, Scientific Reports, Jun. 2021, doi: 10.1038/s41598-021-91527-2 (IF: 4.379)
  • “Towards Non-invasive Blood Glucose Measurement using Machine Learning: An All-Purpose PPG System Design”, Biomedical Signal Processing and Control, Volume 68, July 2021, 102706. Elsevier SCIE (IF: 3.137) 
  • “Development of a Wearable Reflection-Type Pulse Oximeter System to Acquire Clean PPG Signal, and Measure Pulse Rate and SpO2 with and without Finger Motion“ Electronics, vol. 9, issue 11, 13 November 2020. SCIE (IF: 2.412)
  • “An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell”, Expert Systems with Applications, Volume 149, 1 July 2020. ISSN: 0957-4174 Elsevier SCIE (IF: 6.954)

International Conference Paper Presentation

  • “Fused Convolutional Neural Network for White Blood Cell Image Classification”, The 1st International Conference on Artificial Intelligencein Information and Communication, February 11~13, 2019, Okinawa, Japan.
  • “Wearable Visual-MIMO for Healthcare Applications”, International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT 2019), East West University, Dhaka, Bangladesh, May 3, 2019 - May 5, 2019.
  • “Study on the Log-encoding System for a Camera Image Sensor”, The 10th International Conference on ICT Convergence (ICTC) 2019 conference, Oct. 16~18, 2019, Jeju.
  • “Comparison of Different Wavelengths for Estimating SpO2 Using Beer-Lambert Law and Photon Diffusion in PPG”, The 10th International Conference on ICT Convergence (ICTC) 2019 conference, Oct. 16~18, 2019, Jeju.
  • “Topographic Analysis of High Volume Impacts of Music on Brain Lobe using EEG”, 2020 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, Oct. 21~23, 2020.
  • “In-Vivo Estimation of Glucose Level Using PPG Signal”, 2020 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, Oct. 21~23, 2020.
  • “Comparison of Different Methods to Estimate Blood Oxygen Saturation using PPG”, 2021 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, Oct. 20~22, 2021.
  • “Skin Color Information Extraction using a Cylindrical Reflection Sensor for Glycated Hemoglobin Estimation using PPG signals",  2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), October 26~28, Yeosu, Korea.
  • "XGBoost Calibration Considering Feature Importance for Noninvasive HbA1c Estimation Using PPG Signals“, Conference: 2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Indonesia, February 2023.
  • "Noninvasive In-vivo Estimation of Glycated Hemoglobin Using Digital Volume Pulse Signal Based on Modified Beer-Lambert Law", Las Vegas, NV, USA, 5-8 January 2024.
  • "Non-Invasive Blood Glucose Estimation Based on Machine Learning Algorithms Using PPG Signals“, The 6th International Conference on Artificial Intelligence in Information and Communication (ICAIIC), February 19 (Mon.) ~ 22 (Thur.), 2024, Osaka, Japan.

Domestic(Korea) Conference Paper Presentation

  • 동작 인식 센서를 이용한 웨어러블 디바이스 선행기술 조사 분석,” 한국지식재산교육연구학회 춘계 학술대회, 2019년 4월, 국민대학교.
  • “광혈류 측정계 특허 동향 분석,” 한국지식재산교육연구학회 춘계학술대회, 2019년 4월, 국민대학교.
  • “펄스 옥시미터 특허 동향 분석,” 한국지식재산교육연구학회 추계학술대회, 2019년 10월, 삼정호텔(서울).
  • “PPG 신호를 이용한 비침습적 HbA1c 측정 방법,” 제 31회 통신정보 합동학술대회, 4월 28일~30일, 2021, 부산.
  • “비침습적 당화혈색소 측정방법에 대한 국내외 특허 선행조사 분석,” 한국지식재산교육연구학회 춘계학술대회, 2021년 6월, KB증권 연수원 (경기도 용인).
  • “Comparison of different calibration methods for robust estimation of HbA1c and SpO2 values in wearable healthcare devices,” The 32nd Joint Conference on Communications and Information, 2022년 4일 27일(수) ~ 29일(금), 속초 소노캄 델피노

Article Published in Korea Journal

  • “Estimation of Molar Absorption Coefficients of HbA1c in Near UV-Vis-SW NIR Light Spectrum,” 한국통신학회논문지, 제 46권 6호, 2021년 6월. 사사(CRC, 기초) 
  • Comparison of Different Wavelengths for Estimating HbA1c and SpO2 Noninvasively Using Beer-Lambert Law and Photon Diffusion Theory Derived Models, 한국통신학회논문지, 제 46권 8호, 2021년 8월. (학진등재지)  사사 (CRC, LINC) ①
  • “Noninvasive In-vivo Estimation of Blood-Glucose Concentration Using Beer-Lambert-Based Model,” 제 48권 7호, 한국통신학회논문지, 2023년 7월 15일.
  • “Patent-based research and development: Non-invasive estimation of glycated hemoglobin using a PPG sensor,” Journal of Intellectual Property Education and Research. Vol. 11, No. 2, 47-69, December 2023.


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  QuickGly@KoreaIts.com 

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Copyright 2014 ~ Korea I.T.S Co., Ltd, All Rights Reserved.

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Copyright 2014 ~ Korea I.T.S Co., Ltd, All Rights Reserved.