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Intelligent Pervasive Computing Systems for Personalized Healthcare

In the modern era of computing, the biomedical engineering and informatics plays an important role on healthcare. With the availability of potential computing and medical resource everywhere, there is a great scope towards health consciousness and healthy society. Consequently, pervasive computing paradigm offers tremendous advantages/contributions in diversified research areas in healthcare and technology and hence this special issue has focused on healthcare computing through bio-sensors. In all reams of our daily lives, computers are integrated through bio-sensors and generate huge information which creates challenges to our ability on processing enormous bio-informatics data. It will be transforming a meaningful knowledge, especially patient information, medical diagnosis, monitoring and tracking management on health issues, assisting physicians for clinical decision, early detection of health infectious, disease prevention, rapid analysis on health hazards and so on.     

In this special issue we seek to provide state of the art of intelligence paradigms on pervasive computing with respect to healthcare through bio-sensors for desirable intelligent outcomes. The pervasive computational support devotes for an e-health applications to enable optimization of medical assessment for a healthy, authentic, safer and more productive efficient environment. We assure that the research outcomes and integration of pervasive system in health care system would enhance the researchers to excel and explore future trends in this domain. Due to rapid growth and advancement of e-health, responsive systems are used therewith generating a huge volume of data in a variety of formats, especially health care data in bio-medical engineering.  The primary focus and feature is to address the following research gaps which would be significant impact to this special issue: (a) limited studies have addressed on intelligent pervasive health care systems, (b) e-health via bio-sensors hasn’t addressed in depth from the perspective of smarter health care systems. Further, it is imperative to note that fusion of pervasive computing, bio-sensors for e-health has not been adequately investigated from the perspective of smarter health care system in bio-medical engineering and its related research issues. Obviously, these challenges also create immense opportunities for researchers. We cordially invite investigators to contribute their original research articles, with an emphasis on real-life applications, as well as review articles that will stimulate further activities in this area and improve our understanding of the key scientific problems.

Topics include but are not limited to:

  • Design and development of pervasive healthcare technologies
  • Architectures, organizations, and technologies for pervasive healthcare
  • Pervasive networks, Biosensor networks and big data analytics
  • Wearable Biosensors for E-health systems
  • Biosensor design with pervasive systems
  • Biosensor networks for Mobile Health Monitoring
  • Bio sensing Fabrics for Personalized Healthcare Management
  • Multi-sensor Fusion, Context Aware Sensing and Autonomic Sensing
  • Towards energy aware computing in Bio-inspired Processing and Pervasive health care monitoring
  • Privacy and Security Issues on Wireless Body Area Network for Remote Healthcare Monitoring
  • Pervasive systems for the aging society
  • Signal and Image Processing for Computationally Intelligent and pervasive computing with Biosensor applications
  • Data modelling and information management for biosensor assistive environments
  • Healthcare prototype for biosensor based Intelligent Pervasive Healthcare Systems

Importance Dates

  • Submission deadline: 30 December 2019
  • Initial notification: 1 March 2020
  • Final decision notification: 15 May 2020

Guest Editors

  • Dr. Arun Kumar Sangaiah, Vellore Institute of Technology, Vellore, India
  • Dr. Shiwen Mao, Auburn University, USA
  • Dr. Joel J.P.C. Rodrigues, National Institute of Telecommunications, Brazil; Instituto de Telecomunicações, Portugal
  • Dr. Gui-Bin Bian, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • Dr. Yudong Zhang, University of Leicester, UK

Submission Guidelines 

Digital Communications and Networks (DCN), indexed by SCIE and Scopus and fully open access through Science Direct, publishes rigorously peer-reviewed and high quality original articles and authoritative reviews. Only original and unpublished research papers will be considered in this special issue. Authors should follow the DCN manuscript format described in the Information for Authors at DCN journal website (http://www.keaipublishing.com/en/journals/digital-communications-and-networks/). Prospective authors should submit an electronic copy to the Elsevier DCN on-line manuscript system via (https://www.evise.com/profile/#/DCAN/login) according to the following timetable and choose the article type as “SI: IPCS in Personalized Healthcare”.

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