Exploring the Experimental Possibilities of an Intelligent Blood Pressure Prediction Scheme using IoT enabled Machine Learning Principles-Reference-Cited by-同舟云学术

Exploring the Experimental Possibilities of an Intelligent Blood Pressure Prediction Scheme using IoT enabled Machine Learning Principles

Published:2024-06-21 Issue: Volume:33 Page:1-6
ISSN:
Container-title:2023 4th International Conference on Intelligent Technologies (CONIT)
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Author:

Thilagam T.¹,Rajarajeswari S.²,Shobana D³,Ramkumar S.⁴,Bharathi M.⁵,Annamalai Balamurugan⁶

Affiliation:

1. S.A Engineering college,Department of Computer Science & Engineering,Chennai,77

2. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Science and Humanities,Chennai

3. Rajalakshmi Engineering College,Department of Mechatronics Engineering,Chennai

4. Sri Eshwar College of Engineering,Department of Electronics and communication engineering,Coimbatore

5. Jeppiaar Institute of Technology,Department of Electronics and Communication Engineering,Kunnam,Tamil Nadu,India

6. Chennai Institute of Technology,Department of Electrical and Electronics Engineering,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625770/10625923/10626247.pdf?arnumber=10626247

Reference15 articles.

1. Measurement of Arterial Blood Pressure Through Single-Site Acquisition of Photoplethysmograph Signal

2. Wearable cuffless blood pressure monitoring devices: a systematic review and meta-analysis;Shariful;European Heart Journal - Digital Health,2022

3. IoT-based patient monitoring system for predicting heart disease using deep learning

4. Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks;Zhang,2020

5. Identification of Bone Fragmentation in X-Ray Images using Contour Detection Algorithm