Topic Editors

Faculty of Technical Sciences, University of Novi Sad, Novi Sad 21000, Serbia
1. Computer Science & Engineering, European University Cyprus, Engomi, Nicosia 1516, Cyprus
2. ICT-Enhanced Education Laboratory, Centre of Excellence in Risk and Decision Sciences (CERIDES), European University Cyprus, Nicosia 2404, Cyprus
Faculty of Electrical Engineering, University of Banja Luka, 78000 Banja Luka, Bosnia and Herzegovina

Communications Challenges in Health and Well-Being

Abstract submission deadline
20 September 2024
Manuscript submission deadline
20 November 2024
Viewed by
22889

Topic Information

Dear Colleagues,

Improved living conditions and the availability of quality health care have increased life expectancy and the number and share of the aging population. According to the latest World Population Prospects, 16% of the population will be over the age of 65 by 2050, in contrast to the current 10%. This will be one of the sources of increased incidence of chronic disease and disability, but not the only one. The recent global pandemic of COVID-19 has revealed that existing healthcare systems can hardly cope with unpredictable events. The reality we live in requires the adoption of new approaches. This call is dedicated to intelligent architectures, processing, applications, and systems in healthcare that combine various wireless devices and tools ranging from deep learning to high-performance computing, with the goal of bringing benefits to all individuals.

This multidisciplinary topic covers but is not restricted to:

  • Remote health monitoring (applications for both humans and animals);
  • RF propagation in body area networks;
  • Application of machine learning and artificial intelligence in health data processing;
  • Improved imaging and 1D processing techniques;
  • Technologies for public health and emergencies;
  • Activity monitoring for diagnosis or rehabilitation;
  • IoT/IoE in healthcare;
  • Privacy and security in health data transmission or processing;
  • Nano-networks;
  • Crowdsensing/crowdsourcing;
  • Information theory aspects of biomedical signals.

Prof. Dr. Dragana Bajic
Prof. Dr. Konstantinos Katzis
Prof. Dr. Gordana Gardasevic
Topic Editors

Keywords

  • body area networks
  • IoT/IoE
  • reliability and QoS
  • privacy and security
  • machine learning
  • energy efficiency
  • crowdsensing/crowdsourcing
  • activity monitoring

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Entropy
entropy
2.1 4.9 1999 22.4 Days CHF 2600 Submit
Future Internet
futureinternet
2.8 7.1 2009 13.1 Days CHF 1600 Submit
Healthcare
healthcare
2.4 3.5 2013 20.5 Days CHF 2700 Submit
Machine Learning and Knowledge Extraction
make
4.0 6.3 2019 27.1 Days CHF 1800 Submit
Sensors
sensors
3.4 7.3 2001 16.8 Days CHF 2600 Submit

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Published Papers (13 papers)

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