Sensor Networks and IoT in eHealth Applications
A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Network Services and Applications".
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 4931
Special Issue Editors
Interests: Internet of Things; Internet of Things in healthcare; machine learning; signal processing; time series analysis; semantic web
2. Department of Electrical and Electronic Engineering, Institute for Communication Systems, University of Surrey, Guildford GU2 7XH, Surrey, UK
Interests: reliable communications; cognitive networks; IoT deployments; sensor data fusion; situation awareness
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things; data analytics; social computing; semantics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With recent advancements in wireless connected medical sensors and powerful embedded hardware, the Internet of Things (IoT) and related technologies have started to play a crucial role in smart health and healthcare applications. The number of globally connected medical devices is set to exceed 50 billion in the next decade, according to a recent report by IBM. IoT healthcare devices have already started to revolutionise healthcare by speeding up treatments, diagnostic processes and facilitating proactive prevention strategies, reducing physician visits, continuously monitoring and measuring physiological signals from the human body, injecting pharmaceutical compounds into the body, in addition to providing rehabilitation support to users. Yet, there remain significant research challenges regarding the efficient operation and applicability of these smart healthcare systems. While it is beneficial to have such IoT systems for healthcare applications that are simultaneously accurate, energy-efficient, low cost, safe, seamlessly operable, and scalable, there are tradeoffs between these design goals that can affect the complexity of the solution both in technology as well as in usability. Energy efficiency and low-cost goals become challenging to achieve as the complexity of the systems increases. Similarly, if reduced complexity is a design goal, then accuracy and safety goals become challenging to meet.
This special issue aims to provide a forum for researchers and practitioners in academia and industry to present their latest notable research achievements and engineering experiences in developing and applying novel techniques for smart-health and IoT enabled healthcare systems.
Topics
Papers are invited in theory, modelling, algorithms, and applications of IoT healthcare technologies for various healthcare scenarios to establish the latest research in this area. Topics of interest include, but are not limited to:
- Interpretable and explainable Data Science and data analytics in e-Health
- Energy-efficient data compression and aggregation on the Internet of Medical Things
- Change and Anomaly detection for preventive and diagnostic health monitoring
- Causal Inference for smart healthcare systems
- Privacy, Security, and Safety Issues related to smart healthcare
- Cloud and Edge computing for IoT on e-Health
- Telemedicine and telerehabilitation
- Interoperability and standards for IoT on e-Health
- Ambient assisted-living IoT for active and healthy ageing
Guest Editors
Dr. Şefki Kolozali
Prof. Dr. Klaus Moessner
Dr. Suparna De
Dr. Vera Stavroulaki
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Sensor and Actuator Networks is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- IoT Healthcare
- Smart Health
- e-Health
- Precision Health
- Digital Health
- Health Data-Analytics
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