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:2023-09-01 Issue: Volume:43 Page:410-417
ISSN:
Container-title:2023 Third International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)
language:
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Author:

Ganesh Ashween¹,Mistry Jinal²,Mallikarjunaradhya Vinay³,Logeshwaran J.⁴

Affiliation:

1. Research and Development, Fresenius Meidical Care North America,Concord,CA,94520

2. Medtronic, Inc,USA

3. Legal Tech Platform, Thomson Reuters,Canada

4. Sri Eshwar College of Engineering,Department of Electronics and Communication Engineering,Coimbatore,India,641202

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10505947/10505948/10506003.pdf?arnumber=10506003

Reference20 articles.

1. Detection of Cardiovascular Disease Based on PPG Signals Using Machine Learning with Cloud Computing

2. Editorial: Novel methods to advance diagnostic and treatment value of medical imaging for cardiovascular disease

3. Three-dimensional printing, holograms, computational modelling, and artificial intelligence for adult congenital heart disease care: An exciting future;Chessa;European Heart Journal,2022

4. The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field

5. HeartFog: Fog Computing Enabled Ensemble Deep Learning Framework for Automatic Heart Disease Diagnosis

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