Dear Colleagues,

Information technologies have improved the ways of storing, analyzing, and communicating health data conforming the e-health field. For instance, patients can keep a diary of the systems through a mobile or a web application and share this diary with their doctors. In addition, doctors can operate on patients with a high precision by means of robot-assisted surgery. Doctors can also diagnose patients by remotely analyzing X-ray photographs. Health insurance companies also provide some basic services, such as authorizing operations, accessing some personal medical records and searching for nearby specialized doctors by means of both websites and mobile applications. In a broader context, some mobile applications encourage users to practice some healthy habits related to nutrition, physical exercise and meditation among others.

E-health raised some challenges such as maintaining security and privacy in e-health systems. Technologies, such as Internet of things (IoT), can improve e-health systems by means of devices such as home sensors, smart beds, wearable sensors (e.g., smart bands, smart watches, and smart belts), and hospital equipment connected to the Internet. Moreover, e-health systems can store huge amounts of health data. Thus, big data techniques may be applied to store, visualize, and analyze all these data. Furthermore, the real-time communication of these data may be accomplished with 5G networks, providing new opportunities in fields like remote surgery.

This Special Issue aims at collecting current research works on the broad meaning of e-health systems. Thus, authors are encouraged to submit original papers in this field. Potential topics include, but are not limited to:

• 5G networks for e-health
• Agent-based simulation for e-health systems
• Automatic diagnosis by e-health systems subject to human doctor confirmation
• Big data in e-health systems
• Datamining in e-health
• E-health for monitoring patients
• Extraction of knowledge from e-health data
• IoT for e-health
• Mobile applications for e-health and well-being
• Multi-agent systems for implementing e-health systems
• Online systems for preliminary automatic diagnostics
• Remote surgery
• Security and privacy in e-health systems
• Wearable sensors for e-health
• Web applications for providing health assistance
• Web services for e-health

Dr. Iván García-Magariño
Guest Editor

Manuscript Submission Information

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• automatic diagnosis
• big data
• datamining
• e-health
• health apps
• Internet of things
• m-health
• wearable sensors