Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals

Diabetes is a growing global health concern, affecting millions and leading to severe complications if not properly managed. The primary challenge in diabetes management is maintaining blood glucose levels (BGLs) within a safe range to prevent complications such as renal failure, cardiovascular dise...

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Bibliographic Details
Main Authors: Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Anand Paul
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Biosensors
Subjects:
diabetes management
non-invasive blood glucose monitoring
photoplethysmography (PPG)
deep neural networks (DNNs)
machine learning
federated learning (FL)
Online Access:https://www.mdpi.com/2079-6374/15/4/255
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