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Healthcare is an ever-growing industry all over the world with a steady pace. Both social and commercial implications of healthcare are manifold. Traditional healthcare services have two major drawbacks. First, they are not available all the time and everywhere. Ailing individuals have to visit the caregivers or vice versa to get the healthcare services. This puts a constraint on the patients, especially elderly and/or disabled individuals, and requires sudden medical attention to thwart possible long-term impediment. Second, prevailing healthcare infrastructure and personnel are insufficient to accommodate the needs of the increasing population. Moreover, the changing demographics, like the rapidly ageing population of the world, and factors like pollution and stress put considerable strain on the already fragile healthcare infrastructure.
Designing pervasive systems for Smart Healthcare environments poses many challenges, e.g. with respect to intelligence, scalability, interoperability, robustness, analytics, monitoring, user involvement, safety and privacy, etc. The goal of this workshop is to explore these challenges through practical and buildable solutions. We aim to gather the principal practitioners and their experiences under one roof to discuss their findings, incite collaboration and move the state of the art forward. We plan to position this forum as the premier venue for presenting and discussing work in progress in how to develop and maintain pervasive computing solutions in Smart Health domain.
Therefore WISH2019 solicits papers addressing relevant topics, including - but not limited to - the following:
People-Sensing and Crowd-sourcing
Inter-operable & connected medical devices
Distributed Smart Health platform comprising multiple sensors
Wearable and implantable wireless sensors for healthcare
Computing for Health Internet-of-Things
IoT-Health case studies, test-beds & experimental results
Energy efficiency in wireless health monitoring
Usability, user friendliness and re-usability
Safety-critical smart health systems
Communications infrastructure for mobile healthcare apps
Protocols for wireless healthcare
Secure Computing for Healthcare Systems
Securing healthcare data exchange
Interference analysis & mitigation for IoT-health devices
Performance modelling of mobile healthcare systems
Big data in healthcare
Scalability, performance and reliability of smart health mobile apps
Data fusion, data mining and event detection
Diagnostic and decision support algorithms (using Machine Learning and AI)
Computing platforms for natural language processing on electronic health records
Patient tracking & localization technology
Detection, control and spread of epidemics
Predictive analytics for Rural Healthcare solutions
Multi-modal device interaction
User experience and adaptation
Accessibility
Decision theoretic models in rural healthcare
Hardware assisted intelligent systems design for smart healthcare applications
Intelligent hardware / embedded systems for smart healthcare
Application of emerging technologies in smart healthcare systems design
Other emerging design / modelling aspects of such systems / applications
We also welcome papers on novel applications or environments that have a strong Smart Health component, especially if those novel applications and environments challenge existing ideas and design techniques.
Submitted papers must be original contributions that are unpublished and are not currently under consideration for publication by other venues. Paper submissions should be no longer than 6 pages (Additional 2 pages can be added with additional charge) with a font size of 10 using the IEEE conference template. Papers must be submitted electronically as PDF files. All submitted papers will be subject to single blind peer reviews by Technical Program Committee members and other experts in the field. All presented papers in the conference will be published in the proceedings of the conference and submitted to the IEEE Xplore Digital Library. Papers must be submitted electronically as PDF files through the EDAS link (to be updated soon). Each accepted workshop paper requires a full registration (no registration is available for workshops only).
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