Blood Glucose Level Regression for Smartphone PPG Signals Using Machine Learning

Blood Glucose Level Regression for Smartphone PPG Signals Using Machine Learning

Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small droplet of blood is extracted and passed to a glucometer—however, this proce...

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Bibliographic Details
Main Authors: Tanvir Tazul Islam, Md Sajid Ahmed, Md Hassanuzzaman, Syed Athar Bin Amir, Tanzilur Rahman
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
PPG
diabetes
blood glucose
regression
signal processing
machine learning
Online Access:https://www.mdpi.com/2076-3417/11/2/618

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https://www.mdpi.com/2076-3417/11/2/618

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