Integrated Health Care System Using Smart Wearables Based on Intelligent- Internet of Things

The objective of the proposed work is to prevent the significant effects due to COVID 19 including fatal disease by early diagnosing and treatment which is possible through an integrated intelligent health care system. The proposed work uses Wearable Internet of Things (WIoT) based on Ensemble Bayes Deep Learning Neural Network (DNN) technology to develop an integrated health care system for early detection with elevated performance. The motivation behind the work is (i) The pandemic Covid 19 has affected significantly 219 countries throughout the world out of which crores of people infected in India (ii) India fatality is 5.1 L in India due to COVID 19 (iii) Lack of information regarding the disease and insufficient health care support system. The proposed work aims to address the above-mentioned issues due to COVID 19 using the latest integrated intelligent technologies. The proposed system is integrated throughout the Nations to prevent the increase of COVID 19 and fatality due to it in both rural and urban areas. The system detects the asymptotic people who are infected at an early stage before the disease progress using the latest WIoT based on Artificial Intelligence technology. The system gathers information from the people smart ring which is further processed using a pre-processing algorithm, The information processed is classified using deep learning neural network as normal and disease infected people in Edge computing environment, further this information is stored in the cloud and interfaced to the application server. The information accessed through the application server signals the infected individual through the mobile including the health conditions and availability of near health centers with COVID 19 treatment facilities.