Design and Implementation of Non-invasive Vital Patient Data Acquisition Technique Using IoT Technology

Abstract

In this thesis, the author proposes a new design for a heterogeneous IoT communication network based on convenient algorithms. This network structure has been developed to include four node complexity and cloud communication. Also, the author has designed and developed a non-invasive data acquisition algorithm based on computer vision in order to estimate heartrate as a vital sign. Moreover, the author designed and developed an embedded systems algorithm to sense human body temperature (the second vital sign) via a non-invasive sensor. The integration of the three algorithms offer affordable, stable, real-time, and accurate solution for vital data monitoring. It is an important feature of the system that it is fully non-invasive, which has the important benefits of reducing cross-infection and increasing the system’s usability. Additionally, the proposed IoT algorithm permits parallel processing of vital data and synchronisation of information. This system has been developed not only for hospital use but also to be convenient for use in homes, nursing homes, schools, and working environments.