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
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/
