Date of Award


Document Type


Degree Name

Doctor of Philosophy (PhD)


Computer Engineering

Committee Chair

Emil Jovanov

Committee Member

Tommy Morris

Committee Member

Aleksandar Milenkovic

Committee Member

Jacob Hauenstein

Committee Member

Mohammad Haider


Internet of things, Embedded Internet devices, Artifical intelligence--Medical applications, Internet of Medical Things (IoMT)


With the emerging worldwide aging crisis, low power, secure health monitoring becomes increasingly important. Internet of Things (IoT) technology is revolutionizing many application fields, creating a new opportunity: Internet of Medical Things (IoMT). The main IoMT issues include security, energy efficiency, and time synchronization. This study evaluates the IoMT design space, security weaknesses of IoMT systems, and methods of synchronization of distributed IoT sensors. The researcher presents an analysis of the design space of IoMT controllers in Espressif ESP-32 family of microcontrollers and the development, implementation, and evaluation of the ecoSync: a time-synchronization algorithm for IoMT devices on standard Wi-Fi networks. The system's effectiveness was demonstrated on a distributed wireless sensor network for cardiovascular health monitoring. An analysis of the security weaknesses of IoT/IoMT systems and proposed energy and security improvement using a cryptographic coprocessor was performed. The researcher implemented an embedded AI model for identification of cardiac arrhythmias trained using a standard MIT-BIH arrhythmia database to further improve sensor intelligence and energy efficiency. The integrated IoMT system for real-time continuous cardiovascular health monitoring applications was demonstrated.



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