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The health monitoring system utilizing an ESP32 controller and Arduino Nano presents an innovative approach to enhance patient care through continuous real-time monitoring of vital health parameters. This system integrates various sensors, including ECG, DHT11, HX711, and an R305 fingerprint sensor, to collect comprehensive physiological data and ensure secure access. The ESP32 microcontroller processes this data, providing immediate local alerts via a buzzer and LED indicators, while the Arduino Nano manages the GSM module to send remote notifications to healthcare professionals. Furthermore, the system employs IoT capabilities to transmit data to cloud platforms, facilitating remote monitoring and analysis. By automating the monitoring process, this project reduces the workload on healthcare staff and ensures timely medical interventions, thereby improving patient outcomes. The system's ability to provide real-time data visualization, secure access control, and remote monitoring aligns with the growing need for connected and intelligent healthcare solutions. This comprehensive health monitoring system not only enhances patient safety and care efficiency but also supports the advancement of modern healthcare infrastructures through robust data management and communication technologies.
Nupur Yadav (Tue,) studied this question.
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