Welcome to the third edition of the IEEE Workshop on ICT Solutions for eHealth
e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers.
ICTS4eHealth 2018 is the third edition of the International IEEE Workshop dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence.
The workshop will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence technique in the area of eHealth.
e-Health is one of the major research topics that have been attracting cross-disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers.
The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications.
For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, as for example in tasks related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection, and additionally privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications.
ICTS4eHealth 2018 is the third edition of the International IEEE Workshop dedicated to ICT solutions for e-Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence.
The workshop will bring together researchers from academia, industry, government, and medical centers in order to present the state of the art in the emerging area of the use of cloud systems in connected health infrastructure and applications, and the use of IoT and Computational Intelligence technique in the area of eHealth.
Marco Avvenuti, University of Pisa - Italy
Grigorios Beligiannis, University of Patras - Greece
Nadia Brancati, Institute for High Performance Computing and Networking, ICAR-CNR - Italy
Giuseppe Caggianese, Institute for High Performance Computing and Networking, ICAR-CNR - Italy
Stefano Cagnoni, University of Parma - Italy
Lorenzo Carnevale, IRCCS Centro Neurolesi "Bonino Pulejo" - Italy
Fabrizio Celesti, University of Messina - Italy
Christos Chrysoulas, London South Bank University - United Kindom
Miguel Coimbra, University of Porto - Portugal
Isabel De La Torre, University of Valladolid - Spain
Antonio Della Cioppa, University of Salerno - Italy
Maria Fazio, University of Messina - Italy
Stefka Fidanova, Institute of Information and Communication Technologies - Bulgaria
Sebastian Fudickar, University of Oldenburg - German
Antonino Galletta, University of Messina - Italy
Francesco Gargiulo, Institute for High Performance Computing and Networking, ICAR-CNR - Italy
M. Shamim Hossain, King Saud University - Saudi Arabia
Mario Koppen, Kyushu Institute of Technology - Japan
Xing Liu, Kwantlen Polytechnic University - Canada
Pascal Lorenz, University of Haute Alsace - France
Pedro Marques, SBIM, Faculty of Medicine - Portugal
Ilídio Oliveira, University of Aveiro - Portugal
Dipti Patil, Pune University - India
Seyed Amin Pouriyeh, University of Georgia - USA
Rui Prior, University of Porto - Portugal
Joel Rodriguez, University of Beira Interior - Portugal
Stefano Silvestri, Institute for High Performance Computing and Networking, ICAR-CNR - Italy
Jan Sliwa, University of Applied Sciences Bern - Switzerland
Lucia Vaira, University of Salento - Italy
Laura Verde, University of Naples Parthenope - Italy
Shuang Wang, University of California - USA
Marco Zappatore, University of Salento - Italy
Workshop Topics Include (But Are Not Limited To):
Cloud computing applications for eHealth
Internet of Things (IoT) applications for eHealth
Assistive Technology (AT)
Networking and Monitoring in Bio-systems
Management and Organization of BME Environments
Bioinformatics and Computational Biology and Medicine
Monitoring of Vital Functions with Sensor and ICT Systems
Biosensors and Sensor Networks
Advanced Bio-signal Processing
Distributed BME Applications
Telehealth, Telecare, Telemonitoring, Telediagnostics
e-Healthcare, m-Healthcare, x-Health
Assisted Living
Smartphones in BME Applications
Social Networking, Computing and Education for Health
Computer Aided Diagnostics
Improved Therapeutic and Rehabilitation Methods
Intelligent Bio-signal Interpretation
Data and Visual Mining for Diagnostics
Advanced Medical Visualization Techniques
Personalized Medical Devices and Approaches
Modelling and Computer Simulations in BME
Human Responses in Extreme Environments
Other Emerging Topics in BME
e-Accessibility, web accessibility
Hardware & Software personalized assistive technologies
Assistive systems for users who are blind or visually impaired
Integration between home-based assistive technologies and patient health data
User-centered design of electronic assistive technologies
Usability of assistive technologies
Computer vision in AT
User interfaces for home-based assistive technologies
Use of prescription systems and assistive technologies
Experience from real world assistive environment deployment
Assistive Technologies for Urban Environments
Healthcare modeling and simulation
Knowledge discovery and decision support
Biomedical data processing
Wearable devices
Sensor-based mHealth applications
Manuscripts should describe original work and should be no more than 6 pages for full papers and 4 pages for short papers in the IEEE double column proceedings format including tables, figures and references. No more than the 20% of short papers will be allowed. Papers exceeding 6 pages will not be accepted by EDAS.
At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings.
All papers should be submitted via EDAS using https://edas.info/newPaper.php?c=24652
Please, contact us for any questions regarding the submission of manuscripts.
Accepted papers will be included in the ISCC 2018 Proceedings and will be submitted for inclusion to IEEE Xplore. The IEEE ISCC Proceedings have been indexed in the past by ISI, dblp and Scopus. This makes the IEEE ISCC conference one of the publication venues with very high visibility and impact in both Computer and Communications areas..
Authors must use the IEEE conference proceedings format obtainable at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html
06月25日
2018
06月28日
2018
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