Vol. 4 No. 1 (2024): Journal of Deep Learning in Genomic Data Analysis
Articles

Continuous Cardiovascular Health Monitoring with IoT-Enabled Smart Wearable Devices: Designs IoT-based wearable devices for continuous monitoring of cardiovascular parameters, facilitating early detection of cardiac abnormalities and improving heart health management

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  • Dr. Aïsha Benali
Dr. Aïsha Benali
Associate Professor of Information Systems, Ecole Nationale Supérieure d'Informatique, Algeria
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Published 07-06-2024

Keywords

  • IoT,
  • Wearable Devices,
  • Cardiovascular Monitoring,
  • Heart Rate,
  • Blood Pressure,
  • ECG,
  • Early Detection,
  • Health Management,
  • Design Considerations,
  • Technological Advancements
    • ...More
    Less
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How to Cite

[1]
Dr. Aïsha Benali, “Continuous Cardiovascular Health Monitoring with IoT-Enabled Smart Wearable Devices: Designs IoT-based wearable devices for continuous monitoring of cardiovascular parameters, facilitating early detection of cardiac abnormalities and improving heart health management”, Journal of Deep Learning in Genomic Data Analysis, vol. 4, no. 1, pp. 84–93, Jun. 2024, Accessed: Sep. 16, 2024. [Online]. Available: https://thelifescience.org/index.php/jdlgda/article/view/18

Abstract

This research paper explores the design and development of IoT-enabled smart wearable devices for continuous cardiovascular monitoring. With the increasing prevalence of cardiovascular diseases (CVDs) globally, there is a growing need for effective and convenient monitoring solutions. IoT-based wearable devices offer a promising approach, providing continuous monitoring of key cardiovascular parameters such as heart rate, blood pressure, and ECG signals. These devices can enable early detection of cardiac abnormalities, facilitate timely interventions, and improve overall heart health management. This paper discusses the design considerations, technological advancements, and potential benefits of IoT-enabled smart wearable devices for continuous cardiovascular monitoring. It also highlights challenges and future research directions in this field.

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