Current Trends in Wearable Technologies, Body Sensor Networks and Internet-of-Things enabling Pervasive Healthcare
Due to enormous advances in sensing, computing and wireless communication technologies, we witness a plethora of pervasive healthcare (PH) systems around us that leverage smartphones, wearable devices, cloud-connected body area sensors, and smart environments. However, one of the biggest challenges for today’s PH systems is to translate the concept into clinical interventions. To make these PH systems applicable in true sense, it is required to overcome obstacles that can be characterized into two categories: 1) systems challenges; those are associated with size and design of mobile/wearable sensor systems, battery lifetime of connected devices, and limitations of computation and communication resources and 2) clinical and operational challenges; these refer to personalized or person-centered intervention, matching technology ￼￼ to target population, clinically-relevant sensor data and other unexpected barriers that hinder PH systems to effectively function in real-world scenarios. Clinically robust PH systems can be accomplished when these two kinds of challenges are solved together with the significant consideration of clinical attributes––such as type of disease/disorder, spectrum of symptoms, medication plan, affected activities of daily life, and many other parameters relevant to clinical interventions.
This special session will demonstrate state-of-the-art pervasive healthcare systems–wearable sensors, smart textiles and fabrics, body sensor networks and health-centric internet-of- things–that are aimed at providing tele-health interventions to patients with specific diseases/disorders and to individuals for healthier, proactive lifestyle. This session will also provide valuable insights to researchers and engineers on how to design PH systems that empower medical experts to remotely monitor and intervene patients. The aim of this session is to initiate conversations among technologists, engineers, and clinicians to synergize their efforts in producing low-cost, high-performance, highly efficient, deployable, clinically- intelligent pervasive healthcare systems.
Prof. Kunal Mankodiya, University of Rhode Island, USA
Dr. Geng Yang, iPack Vinnova Excellence Center, KTH, Sweden
Prof. Fernando Seoane, University of Borås, Sweden
Prof. Amir-Mohammad Rahmani, University of Turku, Finland
Each contribution must be prepared according to the IEEE formatting guidelines (please check Author's kit). Manuscripts should be up to four (4) pages long and should be submitted electronically in their final form before the paper submission deadline, including an abstract, no longer than 300 words. Submissions must include the title of the paper, each author's name and affiliation. Check the Paper Submission for specific information on the electronic submission process. All papers will be peer-reviewed the Technical Program Committee and judged with respect to their quality, originality, and relevance.
All presented papers in the conference will be published in the proceedings of the conference and submitted to the IEEE Xplore Digital Library.