Abstract

In the medical field, conventional sensor-based diagnosis requires more sensors and human effort if it is processed on a large scale. It is a challenging task due to lack of medical practitioners and system setup. In this paper, an automated e-health patient monitoring framework based on Healthy Pi is developed. We designed and implemented an e-health system based on a new prediction model, Efficient Deep Convolution Neural Network (EDCNN) to provide real-time 24/7 health monitoring facilities, which can be convenient to both doctors and patients while preserving access control mechanism and securing patients sensitive data coming through the machine learning model by applying blockchain technology to secure the vital patients data. The objective is to incorporate a low-cost system using machine learning and blockchain and transmit the patient vital signs in emergency situations using wireless Healthy Pi kit sensor network to collect the patient’s data and transmitted to a cloud. Moreover, we implement the frontend including the website and backend including database as well the mobile apps for easy access of healthcare Internet of Things (HIoT) for patients, doctors, and admins. The object is to have a complete and secure smart HIoT.