Low Power IoT based Implementation ECG & Health Monitoring System.

Abstract

The demand for efficient and cost-effective health monitoring systems is increasing rapidly due to the growing aging population and rising health concerns. In this context, the Low Power IoT-Based Implementation ECG & Health Monitoring System proposed in this project is a significant step forward. The system incorporates the MAX30100 sensor and ESP32 to monitor and track the user's electrocardiogram (ECG) signals and various other health parameters, such as heart rate, blood oxygen levels, and temperature. The proposed system is highly reliable, accurate, and portable, making it an ideal choice for health monitoring applications.

The MAX30100 sensor is a low-cost, highly sensitive optical sensor that measures blood oxygen levels and heart rate through the fingertip. The ESP32 is a low-power, high-performance microcontroller with built-in Wi-Fi and Bluetooth capabilities, enabling the proposed system to be connected to the internet and transmit data wirelessly. In addition, the system features an inbuilt LCD that displays the readings and a Telegram bot that provides real-time remote monitoring of the user's health data.

The proposed system's power consumption is incredibly low, making it suitable for long-term health monitoring applications. Moreover, the system's low-power consumption also ensures extended battery life, making it highly efficient and cost-effective.

Overall, the proposed Low Power IoT-Based Implementation ECG & Health Monitoring System offers a highly reliable and efficient solution for health monitoring applications. The combination of the MAX30100 sensor and ESP32 microcontroller provides highly accurate measurements, and the system's low-power consumption ensures extended battery life. The Telegram bot and inbuilt LCD offer real-time monitoring capabilities, making it an ideal choice for remote health monitoring applications.