An Efficient IOT Based System for Monitoring and Prediction of Myocardial Infarction-Reference-Cited by-同舟云学术

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An Efficient IOT Based System for Monitoring and Prediction of Myocardial Infarction

Published:2023-12-15 Issue: Volume:11 Page:1-6
ISSN:
Container-title:2023 4th International Conference on Communication, Computing and Industry 6.0 (C216)
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Author:

M Inbamalar T¹,B Sarala²,E Anna Devi³,M Amala Justus Selvam⁴,Vivekanand Chettiyar Vani¹,A Mohamed Aslam¹

Affiliation:

1. R. M. K College of Engineering and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu

2. R. M. K Engineering College,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu

3. Sathyabama Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu

4. Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Automobile Engineering,Avadi,Tamil Nadu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430413/10430493/10431314.pdf?arnumber=10431314

Reference18 articles.

1. Making Semi-Automatic Segmentation Method to be Automatic Using Deep Learning for Biventricular Segmentation

2. Interactive One Way Contour Initialization for Cardiac Left Ventricle and Right Ventricle Segmentation Using Hybrid Method;Ciyamala Kushbu;Journal of Medical Imaging and Health Informatics,2021

3. An efficient deep learning algorithm for the segmentation of cardiac ventricles

4. Remote Health Monitoring of Divers Using Underwater Acoustic Communication

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