An IoT enabled computational model and application development for monitoring cardiovascular risks-Reference-Cited by-同舟云学术

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An IoT enabled computational model and application development for monitoring cardiovascular risks

Published:2024-06 Issue: Volume:8 Page:100513
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Rajaganapathi R.,Mahendran Radha,Sivaganesan D.,Vadivel Mr.R.,Joel M. Robinson,Kannan V.

Publisher

Elsevier BV

Reference26 articles.

1. The health digital twin to tackle cardiovascular disease—A review of an emerging interdisciplinary field;Coorey;NPJ Digit. Med.,2022

2. HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments;Tuli;Future Generation Computer Systems,2020

3. Cloud-based IoMT framework for cardiovascular disease prediction and diagnosis in personalized E-health care;Adewole,2021

4. An IoT-based computational framework for healthcare monitoring in mobile environments;Mora;Sensors,2017

5. Influence of plaque configuration and stress distribution on fissuring of coronary atherosclerotic plaques;Richardson;The Lancet,1989

Cited by 1 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. Digital Twins of Biological Systems: A Narrative Review;IEEE Open Journal of Engineering in Medicine and Biology;2024

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