A recent review paper published in MDPI proposed a comprehensive, expert verified taxonomy of ECG monitoring systems by conducting a systemic review of the literature around continuous Cardiac monitoring. This review provides evidence-based support for critically understanding ECG monitoring systems’ components, contexts, features, and challenges.

· Current developments in ECG monitoring systems leverage new technologies, such as deep learning, AI, Big Data and IoT to provide efficient, cost-efficient, fully connected, and powerful monitoring systems.

· IoT brings in remote, unconstrained connectivity and services that leverage data and facilitate timely, meaningful, and critical decisions for a better lifestyle.

· Fog processing and cloud processing contribute to an increased opportunity to improve efficiency and fulfill numerous in-demand scalable application services.

· Blockchain technology enables security over a distributed environment for various transactions throughout the different layers of the ECG monitoring system architecture.

· Future research directions include exploring the use of the fast-growing IoT and smart connected devices for preventive healthcare and supporting the detection of patients’ unusual medical problems or a change in behavioral patterns.

· Personalized monitoring systems should be raised to the next level in terms of being highly customized according to patients’ needs.