IoT-Enabled Hemodynamic Surveillance System: AD8232 Bioelectric Signal Processing with ESP32
Hemalatha R J, Shubham Malhotra, Shivapanchakshari T G, Lokesh K, Dev Anand D, Samson Jebakumar S

TL;DR
This paper presents an IoT-based ECG monitoring system using AD8232 and ESP32 that enables real-time remote cardiovascular health surveillance via a smartphone app, integrating sensor data processing and wireless communication.
Contribution
It introduces a cost-effective, user-friendly IoT ECG device with integrated signal processing and wireless data transmission for remote health monitoring, which is novel in its integration and application.
Findings
Successful real-time ECG data transmission to smartphones.
Effective detection of cardiopulmonary issues using the system.
Potential for remote health monitoring in healthcare settings.
Abstract
This dissertation proposes an electrocardiogram (ECG) tracking device that diagnoses cardiopulmonary problems using the Internet of Things (IoT) desired results. The initiative is built on the internet observing an electrocardiogram with the AD8232 heart rhythm sensor and the ESP32 expansion kit, using an on-premise connected device platform to transform sensing input into meaningful data. That subsequently supervises an ECG signal and delivers it to an intelligent phone via Wi-Fi for data analysis. That is the pace of the circulating. Assessing body temperature, pulse rate, and coronary arteries are vital measures to defend your health. The heartbeat rate may be measured in two ways: there are by palpating the pulse at the wrist or neck directly or other alternative by utilizing a cardiac sensor. Monitoring alcohol levels in cardiac patients is critical for measuring the influence of…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Internet of Things and AI · IoT-based Smart Home Systems
