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Tae-Ho Kwon
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- affiliation: Kookmin University, Seongbuk-gu, South Korea
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2020 – today
- 2024
- [c12]Shama Satter, Tae-Ho Kwon, Ki-Doo Kim:
Non-Invasive Blood Glucose Estimation Based on Machine Learning Algorithms Using PPG Signals. ICAIIC 2024: 622-625 - [c11]Mrinmoy Sarker Turja, Tae-Ho Kwon, Hyoungkeun Kim, Ki-Doo Kim:
Noninvasive In-vivo Estimation of Glycated Hemoglobin Using Digital Volume Pulse Signal Based on Modified Beer-Lambert Law. ICCE 2024: 1-4 - 2023
- [j8]Shama Satter, Tae-Ho Kwon, Ki-Doo Kim:
A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data. Sensors 23(16): 7231 (2023) - [c10]Mrinmoy Sarker Turja, Tae-Ho Kwon, Hyoungkeun Kim, Ki-Doo Kim:
XGBoost Calibration Considering Feature Importance for Noninvasive HbA1c Estimation Using PPG Signals. ICAIIC 2023: 440-443 - 2022
- [j7]Chowdhury Azimul Haque, Tae-Ho Kwon, Ki-Doo Kim:
Cuffless Blood Pressure Estimation Based on Monte Carlo Simulation Using Photoplethysmography Signals. Sensors 22(3): 1175 (2022) - [j6]Tae-Ho Kwon, Ki-Doo Kim:
Machine-Learning-Based Noninvasive In Vivo Estimation of HbA1c Using Photoplethysmography Signals. Sensors 22(8): 2963 (2022) - [j5]Jai-Eun Kim, Tae-Ho Kwon, Ki-Doo Kim:
Deep-Learning-Based Adaptive Symbol Decision for Visual MIMO System with Variable Channel Modeling. Sensors 22(19): 7176 (2022) - [j4]Shifat Hossain, Shama Satter, Tae-Ho Kwon, Ki-Doo Kim:
Optical Measurement of Molar Absorption Coefficient of HbA1c: Comparison of Theoretical and Experimental Results. Sensors 22(21): 8179 (2022) - 2021
- [j3]Shantanu Sen Gupta, Tae-Ho Kwon, Shifat Hossain, Ki-Doo Kim:
Towards non-invasive blood glucose measurement using machine learning: An all-purpose PPG system design. Biomed. Signal Process. Control. 68: 102706 (2021) - [j2]Chowdhury Azimul Haque, Shifat Hossain, Tae-Ho Kwon, Ki-Doo Kim:
Noninvasive In Vivo Estimation of Blood-Glucose Concentration by Monte Carlo Simulation. Sensors 21(14): 4918 (2021) - [c9]Chowdhury Azimul Haque, Shifat Hossain, Tae-Ho Kwon, Ki-Doo Kim:
Comparison of Different Methods to Estimate Blood Oxygen Saturation using PPG. ICTC 2021: 792-794 - 2020
- [c8]Chowdhury Azimul Haque, Tae-Ho Kwon, Ki-Doo Kim:
Topographic Analysis of High Volume Impacts of Music on Brain Lobe using EEG. ICTC 2020: 774-776
2010 – 2019
- 2019
- [c7]Partha Pratim Banik, Rappy Saha, Tae-Ho Kwon, Ki-Doo Kim:
Fusing Reflectance based LDR Images to Generate HDR Image. APCC 2019: 357-360 - [c6]Tae-Ho Kwon, Ki-Doo Kim:
Channel Environment Adaptive Symbol Decision Method for Visual-MIMO Synchronization System. ICEIC 2019: 1-3 - [c5]Shifat Hossain, Tae-Ho Kwon, Ki-Doo Kim:
Comparison of Different Wavelengths for Estimating SpO2 Using Beer-Lambert Law and Photon Diffusion in PPG. ICTC 2019: 1377-1379 - 2018
- [j1]Tae-Ho Kwon, Jai-Eun Kim, Ki-Doo Kim:
Time-Sharing-Based Synchronization and Performance Evaluation of Color-Independent Visual-MIMO Communication. Sensors 18(5): 1553 (2018) - [c4]Partha Pratim Banik, Rappy Saha, Tae-Ho Kwon, Ki-Doo Kim:
LED Color Detection of Visual-MIMO System Using Boosting Neural Network Algorithm. ICUFN 2018: 685-688 - 2017
- [c3]Tae-Ho Kwon, Jai-Eun Kim, Ki-Doo Kim:
Synchronization method for color-independent visual-MIMO communication. ICCE 2017: 458-459 - [c2]Tae-Ho Kwon, Jai-Eun Kim, Jung-Hun Oh, Ki-Doo Kim:
Implementation of color-space-based wearable visual-MIMO system. ICUFN 2017: 776-779 - 2016
- [c1]Ki-Doo Kim, Jin-San Kim, Tae-Ho Kwon:
Variable intensity-on-off keying modulation and its application to wearable visual-MIMO. APCC 2016: 400-403
Coauthor Index
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