Smart Health Care System

Authors

  • Girish M A
  • Arun Kumar S
  • Prathibha R
  • Meghana S

Abstract

In the context of e-Health, we offer an Internet of Things (IoT)-based healthcare system implementation scheme that makes use of electrocardiogram (ECG) sensors and convolutional neural networks (CNNs) in this research. The program intends to improve cardiovascular disease (CVD) patients' access to medical care by facilitating better monitoring and prompt intervention. This implementation makes use of patient path estimator, patient table, and alert management schemes within the hospital to facilitate the localization and prompt intervention for the treatment of CVD patients, as real-time monitoring of patients from various locations remains a critical challenge for IoT-based health care systems.

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References

The Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT) is being held in Ian F2021. The conference is being held at 978-1- 6654- 2392-2/21/$31.00 ©2021 IEEE. The professor, Dr. Randeep Singh, is the contact person.

Ian F2021 is hosting the Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT). The conference will take place at IEEE 978-1-6654-2392-2/21/$31.00 © 2021. The point of contact is Dr. Randeep Singh, the professor.

Telemetry-monitored arrhythmia detection using an Internet of Things-based ECG system.2392-2/21/$31.00 ©2021

By Abdul Quaiyum Ansari, Aftab Alam, and Mohd Aqib 978-93-80544-44-1/22/$31.00 c©2022 IEEE.

A Review of the Framework for IoT-Assisted ECG Monitoring in Healthcare ApplicationsSecond International Conference Proceedings.00 c©2022 IEEE.

Additional Files

Published

03-03-2024

How to Cite

Girish M A, Arun Kumar S, Prathibha R, & Meghana S. (2024). Smart Health Care System. Vidhyayana - An International Multidisciplinary Peer-Reviewed E-Journal - ISSN 2454-8596, 9(si2). Retrieved from http://j.vidhyayanaejournal.org/index.php/journal/article/view/1650