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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47383
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Heart disease continues to be a leading cause of death worldwide, emphasizing the crucial need for early detection and continuous monitoring. This innovative project presents an intelligent, real-time heart disease prediction system integrating multiple biomedical sensors with Internet of Things (IoT) technology and artificial `intelligence (AI). The system uses an Arduino microcontroller to gather real time physiological data from various sensors, including a blood pressure sensor (which provides both systolic and diastolic readings), a heartbeat sensor, a SpO2 sensor, an electrocardiogram (ECG) sensor, and a temperature sensor. The gathered data is sent through a cloud-based IoT system for storage and monitoring, facilitating efficient data analysis.
KEYWORDS
Publication Date
9/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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