Autonomous Healthcare Monitoring via IoT-Edge Computing: Adaptive Power Optimization (Solar/SMPS), Predictive Analytics, and Blynk-Enabled Telemedicine for Chronic Disease Management
摘要
This autonomous healthcare monitoring system enhances patient care by tracking vital signs and automating essential needs via IoT-Edge computing. It uses MAX30100 and DS18B20 sensors to measure heart rate, oxygen levels, and body temperature, with real-time data displayed on an LCD screen and transmitted to the Blynk app for remote monitoring. The system automates food and medicine dispensing using a servo motor, ensuring timely intake through Blynk notifications for caregivers. To maintain uninterrupted operation, a hybrid power system integrates solar panels, battery storage, and an SMPS, with a relay switch enabling automatic transitions based on power availability. The Blynk app also monitors the voltage and efficiency, comparing the solar and SMPS performance. Paired NodeMCU microcontrollers power the system, making it extensible and sustainable. Anticipated for hospitals, clinics, and home healthcare, this smart monitoring system leverages IoT technology to strengthen patient safety, accommodation, and authenticity while reducing manual interference.