Multiple Regression Analysis Based Non-Invasive Blood Glucose Level Estimation Using Photoplethysmography-Reference-Cited by-同舟云学术

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Multiple Regression Analysis Based Non-Invasive Blood Glucose Level Estimation Using Photoplethysmography

Published:2021-07-08 Issue: Volume: Page:
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Container-title:2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
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Author:

Singha Suvojit Kumar,Ahmad Mohiuddin,Islam Md. Rabiul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9528078/9528005/09528219.pdf?arnumber=9528219

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design and Validation of a Monte Carlo Method for the Implementation of Noninvasive Wearable Devices for HbA1c Estimation Considering the Skin Effect;Micromachines;2024-08-24

2. Non-Invasive Blood Glucose Estimation Based on Machine Learning Algorithms Using PPG Signals;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19

3. EMD-Based Noninvasive Blood Glucose Estimation from PPG Signals Using Machine Learning Algorithms;Applied Sciences;2024-02-08

4. A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data;Sensors;2023-08-17

5. LRCN-based Noninvasive Blood Glucose Level Estimation;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

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