2nd IEEE International Workshop on ICT Solutions for e-Health
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.
– 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
– 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.
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.
BEST PAPER AWARD
A “Best Paper Award” Certificate will be conferred on the author(s) of a paper presented at the workshop, selected by the Chairs based on scientific significance, originality and outstanding technical quality of the paper, as assessed also by the evaluations of the members of the Program Committee.