Embedded AI-Based Digi-Healthcare

Healthcare is an indispensable part of human life and chronic illnesses like cardiovascular diseases (CVD) have a deeply negative impact on the healthcare sector. Since ever-growing population patients cannot be managed at hospitals, therefore, there urgent need for periodic monitoring vital parameters apposite treatment these patients. In this paper, Internet Medical Things (IoMT) -based remote patient system proposed which based Artificial Intelligence (AI) edge computing. The primary focus paper to develop embedded prototype that can used will continuously monitor physiological body temperature, heart rate, blood oxygen saturation, then report health status authenticated users. employs computing perform multiple functionalities including inference using Machine Learning (ML) model makes predictions real-time data, alert notifications in case emergency, transferring data between sensor network cloud. A web-based application developed depiction raw ML results provide direct communication channel doctor. module achieved accuracy 96.26% test set K-Nearest Neighbors (KNNs) algorithm. This solution aims address sense emergency due alarming statistics highlight mortality rate project enable smart option IoT improve standards living prove crucial saving lives.