Special Issue: Integrative Sensor Networks, Informatics and Modeling for Precision and Preventative Medicine

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The topics of integrative sensor networks, informatics and modeling bring together the tightly coupled and rapidly developing fields of biomedical and health informatics and body sensor networks. Biomedical and health informatics encompasses methods to extract and communicate information from data in order to impact health, healthcare, life sciences and biomedicine. Body sensor networks provide one means to measure the needed data, through continuous monitoring in both clinical and free-living environments. Recent developments in these areas will be highlighted at two co-located conferences: the 2019 IEEE-EMBS International Conferences on Biomedical and Health Informatics (BHI’19) and Wearable and Implantable Body Sensor Networks (BSN’19) (

Biomedical and health informatics topics include: predictive models, databases, and big data analytics that optimize the acquisition, transmission, processing, monitoring, storage, retrieval, analysis, visualization and interpretation of vast volumes of multi-modal biomedical data, as well as related social, behavior, environmental, and geographical data. These technologies are being deployed in solutions that integrate key technologies including machine learning, artificial intelligence, Internet of Things, mHealth, e-Health, human computer interface, telemedicine, bioinformatics, sensors, imaging, and public health monitoring, to achieve patient-centric and outcome-driven effective health care.

Body sensor networks provide innovative ways to improve treatment outcome and patients’ comfort. They offer novel ways to measure physiology, behavior observations from users. Leveraging innovative systems, communication modules, on-chip and off-line data processing and modeling, these measurements are turned into actionable information. Formation of closed-loop body sensor networks with therapeutic and interventional functions is becoming a reality.

Only original research contributions will be considered. Topics of interest include, but are not limited to, the following:

  • Bioinformatics (including biomedical sensor, signal and image processing)
  • Behavioral Informatics
  • Big data analytics and machine learning
  • Clinical and public health informatics
  • Precision medicine and disease-oriented informatics
  • Prototyping of body-worn, ingestible and implantable sensor networks
  • Novel chemical, biological and textile body sensors
  • Flexible, stretchable, ultralow power or battery-less electronic sensors and systems
  • Body area communication protocols, models and theories;
  • Security, privacy and trust in body sensor networks

Guest Editors

Wei Chen
Fudan University, China

David Clifton
University of Oxford, UK

Brian Telfer
MIT Lincoln Laboratory, USA

Key Dates

  • Deadline for submission: 1 Oct 2019
  • First reviews: 1 Jan 2020
  • Revised Manuscript due: 1 Mar 2020
  • Final decision: 1 Apr 2020

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Special Issue: Internet of Medical Things for Health Engineering

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Recently, due to the unmet need to address the grand challenges in preventive medicine and the advances in information and computer technologies, the medical and health care are making a paradigm shift from hospital-centred to patient-centred, and from disease-focus to health-focus. With the increasing demand for lower-cost, more convenient, and smarter healthcare solutions, extensive research has been dedicated to the development of novel Internet of Medical Things (IoMT) devices, circuits, systems, platforms, and their applications for health engineering, which are leading to a new and promising healthcare strategy transform. In IoMT, the enabling technologies such as smart biosensors and bioelectronics, wearable and flexible devices, lab-on-a-chip integration, big data collection, analytics, mining and fusion, communication, as well as proactive health management are all paving the way for this new strategy.

Considering this situation, this special issue is dedicated to the state-of-the-art health engineering related topics and emphasizes the interdisciplinary bioelectronics and bioinformatics-related topics for health informatics and engineering. Through a collection of original and invited papers, this issue aims to promote the awareness of IoMT technologies in the community of healthcare, and encourage the research collaboration across the fields to address the critical and urgent healthcare concerns.

Topics include but are not limited to:

  • Multimodal healthcare sensors
  • Wearable and implantable sensors
  • Mobile and lab-on-a-chip healthcare microsystems
  • Point-of-care healthcare instrumentation
  • Unobtrusive biosensing
  • Home-care robotics
  • Bioinformatics for healthcare engineering
  • Medical data mining and big-data analytics
  • Machine learning/deep learning for healthcare
  • Biomedical Signal and Image Processing of IoMT
  • IoMT architecture, implementation and application

Guest Editors

Jinhong Guo
School of Information and Communication,
University of Electronic Science and Technology of China

Xiwei Huang
College of Electronics and Information, Hangzhou Dianzi University, China

Santosh Pandey
School of Electrical & Computer Engineering, Iowa State University

Yuan-Ting Zhang
Department of Mechanical and Biomedical Engineering
City University of Hong Kong

Key Dates

Deadline for Submission: 31 Oct, 2019
First Reviews Due: 31 Jan, 2020
Revised Manuscript Due: 29 Feb, 2020
Final Decision: 30 Mar, 2020

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