Connected Care: An IoT-based Remote Patient Monitoring System Development

Remote patient monitoring, or RPM, is essential to modern healthcare because it allows for early disease detection and real-time health tracking. This project introduces an Internet of Things (IoT)-based remote patient monitoring system that can continuously measure and send vital body parameters, including blood pressure, heart rate, body temperature, oxygen saturation (SpOâ‚‚), and electrocardiogram (ECG) signals. The system is intended to help medical practitioners monitor patients remotely, cut down on hospital stays, and guarantee prompt medical attention. In order to gather physiological data from patients, the suggested system combines biomedical sensors with a microcontroller (such as an Arduino or ESP32). These sensors include an ECG module (AD8232) to monitor cardiac activity, a temperature sensor (e.g., LM35 or DS18B20), a pulse oximeter (MAX30100/MAX30102) to measure heart rate and SpOâ‚‚, and a blood pressure sensor. For remote access, the microcontroller processes the gathered data and sends it via Wi-Fi or GSM to a cloud-based IoT platform (like Thingspeak, Firebase, or Blynk). Healthcare providers can monitor real-time patient data through a web dashboard or a mobile application, allowing data visualization, trend analysis, and alert notifications in case of abnormal readings. If any critical condition is detected, the system can send SMS or email alerts to doctors and caregivers. Additionally, the integration of machine learning algorithms can enhance prediction accuracy and provide early warnings for potential health risks. The IoT-based Remote Patient Monitoring System offers significant advantages, including early disease detection, improved patient outcomes, reduced hospital burden, and cost-effectiveness. It is especially useful for elderly patients, chronically ill individuals, and post-operative monitoring, ensuring continuous supervision without requiring constant hospital visits. Future enhancements may include AI-based predictive analytics, wearable integration, and blockchainbased data security to improve reliability and efficiency. This project serves as a foundation for smart healthcare solutions, demonstrating how IoT technology can revolutionize patient monitoring and healthcare delivery.