The IoT-based health monitoring framework successfully captured and transmitted real-time physiological parameters to a cloud platform with minimal latency and stable connectivity.
The proposed IoT-based framework provides a low-cost, portable, and reliable solution for real-time remote monitoring of vital signs.
Present-day healthcare mandates a shift from reactive to proactive monitoring. This paper proposes a strong IoT-driven architecture designed for the continuous tracking of critical physiological parameters, including core body temperature, pulse rate, and peripheral oxygen saturation (SpO2). By use of a NodeMCU (ESP8266) microcontroller, the system digitizes analog sensor data and organize its transmission to the Adafruit IO cloud platform via Wi-Fi. We aim to provide a low-cost,portable,and highly accurate remote monitor that shows real-time patient data to doctors. The system maintain secure transmission of health data and can be further improved by incorporating advanced technologies like artificial intelligent for predicting potential health issues.
Kumar et al. (Sun,) conducted a other in Remote Healthcare Monitoring. IoT-Based Real-Time Health Monitoring Framework was evaluated on System latency and connectivity. The IoT-based health monitoring framework successfully captured and transmitted real-time physiological parameters to a cloud platform with minimal latency and stable connectivity.