A Linear Quadratic Regression-Based Synchronised Health Monitoring System (SHMS) for IoT Applications

In recent days, the IoT along with wireless sensor networks (WSNs), have been widely deployed for various healthcare applications. Nowadays, industries use electronic sensors to reduce human errors while analysing illness more accurately and effectively. This paper proposes an IoT-based health monitoring system investigate body weight, temperature, blood pressure, respiration heart rate, room humidity, ambient light synchronised clock model. The is divided into two phases. first phase, compares observed parameters. It generates advisory parents or guardians through SMS e-mails. cost-effective easy-to-deploy provides timely intimation associated medical practitioner about patient’s reduces effort of practitioner. data collected using proposed were accurate. second was also a linear quadratic regression synchronisation technique maintain high between alarm system. observation made in this that technology improved performance by reducing root mean square error 0.379% R-square 0.71%.