Call for Papers

Internet of Things (IoT) has emerged as one of the most trending topics of technology in recent times since it gives rise to a number of trends and services related to different scenarios. Thanks to its multidisciplinary approach, IoT has been phenomenal in revolutionizing many aspects of traditional healthcare paradigms. At the same time, traditional healthcare systems can no longer satisfy the needs of a continuously growing and developing society. The world today needs to face the aging of population and the inherent need of assisted-living environments for elderly people.

This special issue aims at bringing together researchers from academia and industrial players to contribute with their latest research works from various fields of the state-of-the-art, pertaining to this new IoT paradigm at which disruptive solutions in medical sciences, healthcare and aging evolve with the unprecedented connecting power of IoT. The theme of this special issue is based on a three-fold approach. First, to discuss the latest advancements in the field of IoT for eHealth by presenting innovative and efficient solutions for in-home remote monitoring. Second, to illustrate the aspects of applying IoT in healthcare by experimental results, to analyze the effects over lifestyle and healthcare systems and the response to technology-assisted medical care and treatments. Third, to provide further directions for research posing new problems and challenges in the in-home remote monitoring field.

The special issue invites original and breakthrough research in the field of IoT for eHealth. High-quality surveys, tutorial and practical use-cases in real life scenarios are also welcomed. Contributions to this special issue should include (but not limited to):

• IoT sensors and architectures for in-home remote monitoring
• e-Health services and Applications
• Cloud and Edge computing for IoT-eHealth
• Interoperability and standards for IoT-eHealth
• Telemedicine and tele rehabilitation
• e-Health Devices and Instruments
• Big Data Analytics in eHealth
• Machine Learning and Artificial Intelligence in eHealth
• Digital Signal Processing (DSP) algorithms towards early diagnosis
• IoT-based remote healthcare for elderly
• Ambient Assisted Living IoT for active and healthy aging
• Safety, Security and Ethics in IoT-eHealth
• Data privacy in IoT-eHealth
• e-Health Supporting Technologies
• Exploiting 5G for eHealth in-home monitoring solutions

Submission Guidelines

Prospective authors should prepare their submissions in accordance with the rules specified in the Information for Authors of the IEEE Journal on Selected Areas in Communications (J-SAC) guidelines. Authors should submit a PDF version of their complete manuscript to EDAS.

Important Dates

Paper Submission Due: 15 December 2019 (New Deadline)
First Notification: 15 February 2020
Acceptance Notification: 1 May 2020
Final Manuscript Due: 15 May 2020
Planned Publication Date: First Quarter 2021

Guest Editors

Joel J. P. C. Rodrigues
Inatel, Brazil, IT, Portugal, UFPI, Brazil

Honggang Wang
University of Massachusetts (UMass) Dartmouth, US

Simon Fong
University of Macau, China

Nada Philip
Kingston University, UK

Jia Chen
IBM, US