A REAL TIME HEALTH MONITORING SYSTEM FOR IOT-ENABLED DEVICES USING WEARABLE SENSORS

Electronics and Communication Engineering

The IOT-based Smart Health Monitoring and ECG Denoising System presents a comprehensive solution for real-time health monitoring and analysis. By leveraging Arduino Uno, ECG sensor, and MAX30102 sensor for measuring vital parameters such as heartbeat, SpO2, and body temperature, the system offers continuous monitoring of the user's health status. The collected data is transmitted to a mobile application via the Thing Speak IoT cloud platform, providing users with remote access to their health information and enabling healthcare professionals to monitor patients' conditions effectively. Additionally, the system incorporates LED indicator lights and a buzzer to remind users of medication intake at predefined intervals, enhancing medication adherence and overall health management. Furthermore, the system implements ECG denoising and analysis algorithms using Python code running on a laptop. This feature allows for the extraction of clean ECG signals from noise and the analysis of cardiac activity for detecting anomalies or irregularities. By processing the ECG data in real time, healthcare providers can gain valuable insights into the user's cardiac health and promptly intervene in case of any abnormalities. Overall, the proposed system offers a user-friendly and efficient approach to health monitoring and management, leveraging IoT technology and data analysis techniques to improve healthcare outcomes and enhance user well-being.

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