Design and Implementation of an Interoperable IoT Based Health Monitoring System for Diabetes
Author:
Affiliation:
1. Kalasalingam Academy of Research and Education Krishnankoil,Department of Electronics and Communications Engineering,Virudhunagar,Tamil Nadu,India,626126
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10059461/10060864/10061057.pdf?arnumber=10061057
Reference20 articles.
1. Type 2 diabetes data classification using stacked autoencoders in deep neural networks
2. Smart Home Health Monitoring System for Predicting Type 2 Diabetes and Hypertension;goyal;J King Saud Univ Comput Inf Sci,2020
3. A Frequency Pattern Mining Model Based on Deep Neural Network for Real-Time Classification of Heart Conditions
4. Smart Medical Telemetry Acquisition System
5. Glucose Sensing for Diabetes Monitoring: Recent Developments
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1. Intelligent Interconnected Healthcare System: Integrating IoT and Big Data for Personalized Patient Care;International Journal of Online and Biomedical Engineering (iJOE);2024-08-08
2. Research Progress and Prospects of Intelligent Diabetes Monitoring Systems: A Review;IEEE Sensors Journal;2024-08-01
3. Analysis of Wireless Internet of Things to Medical Health Care Patient Applications;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19
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