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ICTS4eHealth 2017 - 2nd edition of the IEEE International
Workshop on ICT Solutions for e-Health
Aquila Atlantis Hotel, Heraklion, Crete, Greece
July 03-06 2017 -
www.icts4ehealth.icar.cnr.it
in conjunction with the Twenty-Second IEEE Symposium on
Computers and Communications
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MISSION:
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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 2017 is the second 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.
TOPICS:
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- Cloud computing applications for eHealth
- Internet of Things (IoT) applications for eHealth
- Assistive Technology (AT).
- Informatization, Management and Organization of BME
Environments
- Bioinformatics and Computational Biology and Medicine
- Communication, Networking and Monitoring in Bio-systems
- 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
- Cloud computing and AT
- 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
The use of Soft Computing/Computational Intelligence methods
in facing problems in the above topics is highly welcome,
although not compulsory.
PAPER SUBMISSION:
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Authors are invited to submit full papers written in English,
with a paper length of six (6) printed pages, including
figures, tables & references in IEEE double-column format
(IEEE standard conference templates). Submissions should
contain original material and not be previously published, or
currently submitted for consideration elsewhere. All papers
will be reviewed for scientific quality by the Technical
Program Committee.
All papers should be submitted via EDAS using
https://edas.info/newPaper.php?c=23263&track=83976
Paper submission implies the willingness of at least one
author to register, at the regular rate (non-student), and
present the paper. The Workshop Proceedings will be part of
the ISCC 2017 Proceedings and will be submitted for inclusion
in IEEE Xplore Digital Library. The IEEE ICTS4eHealth 2017
Workshop is using the EDAS Conference Management System to
manage the paper submission process.
IMPORTANT DATES:
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Submission deadline: March 27, 2017
Notification of paper acceptance: April 01, 2017
Submission of camera-ready papers: April 24, 2017
Maximum paper length: 6 pages (no additional pages allowed)
VENUE:
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Aquila Atlantis Hotel, Heraklion, Crete, Greece
http://www.theatlantishotel.gr/
FOR ANY OTHER INFORMATION
http://icts4ehealth.icar.cnr.it/