Health Engineering and Informatics Driven by the Industry4.0 for Aging Society

  in Special Issue   Posted on August 17, 2017

Information for the Special Issue

Submission Deadline: Tue 31 Oct 2017
Journal Impact Factor : 5.223
Journal Name : IEEE Journal of Biomedical and Health Informatics
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

Deadline for Submission: 31 Oct, 2017
First Reviews Due: 31 Jan, 2018
Revised Manuscript Due: 31 Mar, 2018
Final Decision: 30 Apr, 2018

As a traditional research topic of biomedical engineering and health informatics, the aging of population has been globally recognized as one of the top grand challenges. The age-related diseases such as neurodegenerative diseases, cardiovascular and cerebrovascular diseases, and psychological diseases have become the primary killers of human. From economic point-of-view, these diseases have consumed the major portion of healthcare resources due to the long course of disease and large patient base. Pulled by this grand social challenge, automation technologies are dramatically “spilling out” from the traditional scenarios such as factories and workshops to biomedicine and healthcare. Especially in the context of the fourth revolution of industry (Industry4.0), cross disciplinary synergy of expertise and deep convergence of the automation technologies, biomedical engineering, and health informatics are reshaping the research landscape in academia and industry towards the rapid development of Health Engineering, an emerging interdisciplinary field for the predictive, preventive, precise and personalized medicine. This has offered an unpresented opportunity for solving the challenges caused by the aging of population.

The goal of this special issue is to publish the latest research advancement in the convergence of automation technology, biomedical engineering and health informatics. The application scenarios can cover single or multiple scenarios of health engineering such as primary care, preventive care, predictive technologies, hospitalization, home care, and occupational health. We focus on the cross disciplinary approaches, solutions, and initiatives rather than single disciplinary ones. Only unpublished original articles will be accepted.

Topics include but are not limited to:

Theories, models and tools for optimizing and operating elderly care facilities, services and processes
Caring robots and assistive equipment for elderlies
Advanced sensing components, networks, and systems for age related diseases
Flexible, wearable, and implantable biosensors for prognosis, diagnosis, treatment, and medication
Long term and unobtrusive monitoring for elderlies
Preventive medicine powered by data analytics, unobtrusive monitoring and Artificial Intelligence
Age friendly living spaces and working spaces with integrated biomedical devices and systems
Cyber-Physical-Systems approach in pharmaceutical management and healthcare logistics for elderlies
Deterministic communications and controls in remote medicine for elderlies
System Engineering-based methodologies and practices in Health Engineering

Guest Editors

Zhibo Pang
Department of Automation Solutions, ABB Corporate Research, Vasteras, Sweden

Heng Yuan
School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, China

Yuan-Ting Zhang
Key Lab for Health Informatics of Chinese Academy of Sciences, Shenzhen, China

Muthukumaran Packirisamy
Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Canada

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