The rapid growth of Internet of Things (IoT) and Big Data, as well as the public embracement of miniature wearable biosensors have generated new opportunities for personalized eHealth and mHealth services. The advantages of these services include the availability and accessibility, ability to personalize and tailor content, and cost-effective delivery. Still, many challenges need to be addressed in order to develop consistent, suitable, safe, flexible and power-efficient systems fit for medical needs. To enable this transformation, it requires multidisciplinary research, as well as close collaboration between academia and industries. This symposium aims to bring researchers and industrial partners in the area of signal, data, and information processing to address all important aspects of novel IoT technologies for smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and Big Data analytics that are aimed at providing tele-health interventions to individuals for healthier lifestyles. The symposium invite authors to submit high quality papers containing original work from both academia and industry reporting novel advances.
Smart and Connected Health Program, National Science Foundation
The proliferation of the Internet of Things (IOT) has changed the way that we live. Unfortunately, these changes have yet to fully impact the health and the healthcare system. New transdisciplinary approaches are needed to realize the promise of IOT, which will result in transformative change across the health domain. Fortunately, health and medicine have begun to embrace convergent approaches that involve expertise from non-traditional biomedical disciplines, such as computing and engineering. IOT is especially poised to contribute to these transformations by bringing sophisticated ubiquitous technology to partnerships in the biomedical realm. While developing the technology is advancing, methods to address the big data arising from the IOT and conventional health sources, has not even begun to be addressed. This talk will cover current challenges for IOT and health analytics and a vision of this area for the future.
Wendy Nilsen, Ph.D. is a Program Director for the Smart and Connected Health Program in the Directorate for Computer & Information Science & Engineering at the National Science Foundation. Her work focuses on the intersection of technology and health. This includes a wide range of methods for data collection, advanced analytics and the creation of effective cyber-human systems. Her interests span the areas of sensing, analytics, cyber-physical systems, information systems, big data and robotics. More specifically, her efforts include: serving as cochair of the Health Information Technology Research and Development working group of the Networking and Information Technology Research and Development Program; the lead for the NSF/NIH Smart and Connected Health announcement; convening workshops to address methodology in technology in health research; serving on numerous federal technology initiatives; and, leading training institutes. Previously, Wendy was at the National Institutes of Health.
|Thursday, November 16|
|09:40 - 10:30|
|IOTHC-DST.1: Distinguished Speaker - Wendy Nilsen, Smart and Connected Health Program, National Science Foundation|
|11:00 - 12:30|
|IOTHC-O.1: Big Data Analytics for IoT Healthcare|
Submissions are welcome on topics including:
Prospective authors are invited to submit full-length papers (up to 4 pages for technical content, an optional 5th page containing only references) and extended abstracts (up to 2 pages, for paperless industry presentations and Ongoing Work presentations). Manuscripts should be original (not submitted/published anywhere else) and written in accordance with the standard IEEE double-column paper template. Accepted full-length papers will be indexed on IEEE Xplore. Accepted abstracts will not be indexed in IEEE Xplore, however the abstracts and/or the presentations will be included in the IEEE SPS SigPort. Accepted papers and abstracts will be scheduled in lecture and poster sessions. Submission is through the GlobalSIP website at http://2017.ieeeglobalsip.org/Papers.asp.
Notice: The IEEE Signal Processing Society enforces a “no-show” policy. Any accepted paper included in the final program is expected to have at least one author or qualified proxy attend and present the paper at the conference. Authors of the accepted papers included in the final program who do not attend the conference will be subscribed to a “No-Show List”, compiled by the Society. The “no-show” papers will not be published by IEEE on IEEEXplore or other public access forums, but these papers will be distributed as part of the on-site electronic proceedings and the copyright of these papers will belong to the IEEE.
|Paper Submission Deadline||June 2, 2017|
|Review Results Announced||July 17, 2017|
|Camera-Ready Papers Due||August 5, 2017|
Kunal Mankodiya, University of Rhode Island
Yan Lindsay Sun, University of Rhode Island
Geng Yang, Zhejiang University, China
Amir Amiri, PhD, Temple University, USA
Amir Rahmani, UC Irvine (USA) & TU Wien (Austria)
Benny Lo, Imperial College London, UK
Bin Li, University of Rhode Island, USA
Farshad Firouzi, Karlsruhe Institute of Technology, Germany Hassan Ghasemzadeh, Washington State University, USA
Krishna Kumar Venkatasubramanian, Worcester Polytechnic Institute, USA
Rolando Martins, University of Porto, Portugal
Shivayogi Hiremath, Temple University, USA
Nitul Dutta, Marwadi University, India