Cardiovascular Disease Overview and Making Healthcare Simply Available via Heartbeat Sensors

Authors

  • Marwa Al-Hadi, Ghaleb Al-Gapharia, Francisco Julian, Ibrahim Al-Baltah, Ahmed Al-Hadi

Keywords:

Cardiovascular disease, Risk factor, Heartbeat sensors, Real-time IoT diagnosis.

Abstract

Cardiovascular disease (CVD) is the cause of the greatest number of deaths worldwide. It is statistically number one around the globe on that side. The World Health Organization reported that it causes approximately 17 million deaths each year, and approximately 17.9 million people died in 2019. This represents 32% of all global deaths due to heart attacks and strokes, approximately 17.6–19.1 million in 2020, and approximately 18 million in 2021. There is no exact number of deaths in 2023, whereas in Yemen, it is approximately 27848 per 100,000. The latest study of Yemen revealed that approximately 19.39% of people die around the globe, which represents the top 14 in the World Health Organization ranking in 2020. The risk of this disease continues to increase daily, which has led scientists to work on this disease to reduce the number of deaths. There-fore, this study focused on understanding the major forms of cardiovascular illness. Clarifying the amount of research using pulse and ECG sensors to predict heartbeats from 2017–2023, understanding the most frequent variables used to diagnose cardio-vascular disease. In the future, this study will provide a clear view of how to build a model that predicts a person's status and reduces the number of people who die from cardiovascular disease.

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Published

12.06.2024

How to Cite

Marwa Al-Hadi. (2024). Cardiovascular Disease Overview and Making Healthcare Simply Available via Heartbeat Sensors. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 4737–4748. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7172

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Research Article