EMD-Based Noninvasive Blood Glucose Estimation from PPG Signals Using Machine Learning Algorithms

EMD-Based Noninvasive Blood Glucose Estimation from PPG Signals Using Machine Learning Algorithms

Effective management of diabetes requires accurate monitoring of blood glucose levels. Traditional invasive methods for such monitoring can be cumbersome and uncomfortable for patients. In this study, we introduce a noninvasive approach to estimate blood glucose levels using photoplethysmography (PP...

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Bibliographic Details
Main Authors: Shama Satter, Mrinmoy Sarker Turja, Tae-Ho Kwon, Ki-Doo Kim
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
photoplethysmography
blood glucose
diabetes
machine learning
empirical mode decomposition
Online Access:https://www.mdpi.com/2076-3417/14/4/1406

Internet

https://www.mdpi.com/2076-3417/14/4/1406

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