Key result
IoT-based health framework transmits real-time physiological data with minimal latency and stable connectivity.
Why the study?
Present-day healthcare mandates a shift from reactive to proactive monitoring.
The proposed IoT-based framework provides a low-cost, portable, and reliable solution for real-time remote monitoring of vital signs.
May support remote CV monitoring in routine care; extends feasibility of low-cost IoT cloud platforms.
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.
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Kumar et al. (2026) studied 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.
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