Special Issue "Internet of Healthcare Things (IoHT): Methods, Advances, and Applications"

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 8090

Special Issue Editors

Post-Graduation Program in Electrical Engineering, Federal University of Piauí (UFPI), Teresina-Pi 64049-550, Brazil
Interests: Internet of Things; wireless and body sensor networks; mobile and e-health technologies; future internet technologies; vehicular communications; mobile and cloud computing
Special Issues, Collections and Topics in MDPI journals
Birla Institute of Technology, Jharkhand, India
Interests: IoT in Healthcare, Medical Imaging, Wireless Body Area Sensor Networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent trends in Internet of Things (IoT) have seen a significant shift towards healthcare technology. IoT technologies are increasingly becoming more requested in healthcare in the context of development, testing, and trials, with the intent to be used as a part of both clinics and homes. This Special Issue focuses on state-of-the-art IoT technologies, wireless body area sensor networks, signal processing and analysis, medical imaging and advanced pervasive healthcare systems being used to monitor specific diseases/disorders of patients.

The physiological data collected on medical devices are stored on a telemedicine enabled-cloud database. At present, the number of medical devices generates large amounts of clinical data, often called big data, including blood pressure, heart rate, images, body temperature, respiratory rate, blood circulation level, body pain, and blood glucose level. The IoT has several applications in the medical field, from remote monitoring to smart sensors and medical device integration. This Special Issue will also offer valuable insights to researchers and engineers on how to design IoT systems and how to improve patient’s information delivery care remotely. End-to-end clinical data connectivity involves the development of many technologies that should enable reliable and location-agnostic communication between a patient and a healthcare provider. The aim is to initiate conversations among technologists, engineers, scientists, and clinicians to synergize their efforts in producing low-cost, high-performance, highly efficient, deployable IoT systems in different medical applications. However, the main challenge in IoHT is how to manage with respect to critical applications, where a number of connected devices generate a large amount of medical data. This large volume of data, often called big data, cannot readily be processed by traditional data-processing algorithms and applications.

In general, many database clusters and additional resources are required to store big data. However, storage and retrieval are not the only problems. Meaningful patterns are hard to obtain from big data, such as that pertaining to patient diagnostic information, which is also an essential problem. Presently, a number of emerging applications are being developed for various environments. Sensors are most often used in critical applications for real-time or the near future. In particular, the IoHT uses an accelerometer sensor, visual sensor, temperature sensor, carbon dioxide sensor, ECG/EEG/EMG sensor, pressure sensor, gyroscope sensor, blood oxygen saturation sensor, humidity sensor, respiration sensor, and blood-pressure sensor to observe and monitor patients’ health in a continuous manner. By intelligently investigating and collecting large amounts of medical data (i.e., big data), IoHT can enhance the decision-making process and early disease diagnosis. Hence, there is a need for scalable machine learning and intelligent algorithms that lead to more interoperable solutions and that can make effective decisions in emerging IoHT.

This Special Issue will focus on recent advances and different research areas in healthcare technology under the IoT framework and also seek out theoretical, methodological, well-established, and validated empirical work dealing with these different topics. The title will appeal to a very vast audience from basic science to engineering and technology experts and learners. This could eventually work as a textbook for biomedical students in engineering and or science masters programs and for researchers. This title also serves the common public interest by presenting new methods for medical data evaluation, and diagnosis of different diseases to improve quality of life in general, with a better integration into society.

Overall, the goal of this proposed Special Issue in Future Internet is to publish and capture the most recent advances and trends in the promising applications of healthcare technology in the Internet of Things. We would like to gather researchers from different disciplines and methodological backgrounds to discuss new ideas, research questions, recent results, and future challenges in this emerging area of research and public interest.

Topics of interest include, without being limited to:

  1. Applications of IoHT in Biomedical Signal/Image Processing
  2. Healthcare Data Analytics in IoHT
  3. Cloud/Fog Computing for IoHT
  4. Advanced Biomedical Data Protection under IoT
  5. Cyber-Security and Block-Chain in Healthcare
  6. Learning Approaches for Biomedical-IoT
  7. Optimization and Performance Evaluation under IoHT
  8. Remote Monitoring Applications
  9. Healthcare Application Page
  10. Telemedicine, m-Health, e-health
  11. Body Sensors in IoHT
  12. Bigdata in IoT-Healthcare
  13. Artificial Intelligence and Decision Supports
  14. Automated Disease Diagnostic Tool
  15. Quality of Life in Healthcare
  16. Smart Healthcare Systems
  17. Sensing and Detecting Devices
  18. Semantic Depiction of Human Body data
  19. Nurse Challenges with IT and EMRs
  20. Patients Streaming Data Processing
  21. ICT for IoT-Healthcare
  22. Mobile Healthcare
  23. Patient-Centered Care

Prof. Dr. Joel J. P. C. Rodrigues
Dr. Chinmay Chakraborty
Guest Editors

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. Future Internet is an international peer-reviewed open access monthly 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 1600 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.


  • Internet of Healthcare Things (IoHT)
  • m-Health
  • IoT-Healthcare

Published Papers (2 papers)

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Patient Privacy Violation Detection in Healthcare Critical Infrastructures: An Investigation Using Density-Based Benchmarking
Future Internet 2020, 12(6), 100; https://doi.org/10.3390/fi12060100 - 08 Jun 2020
Cited by 9 | Viewed by 3178
Hospital critical infrastructures have a distinct threat vector, due to (i) a dependence on legacy software; (ii) the vast levels of interconnected medical devices; (iii) the use of multiple bespoke software and that (iv) electronic devices (e.g., laptops and PCs) are often shared [...] Read more.
Hospital critical infrastructures have a distinct threat vector, due to (i) a dependence on legacy software; (ii) the vast levels of interconnected medical devices; (iii) the use of multiple bespoke software and that (iv) electronic devices (e.g., laptops and PCs) are often shared by multiple users. In the UK, hospitals are currently upgrading towards the use of electronic patient record (EPR) systems. EPR systems and their data are replacing traditional paper records, providing access to patients’ test results and details of their overall care more efficiently. Paper records are no-longer stored at patients’ bedsides, but instead are accessible via electronic devices for the direct insertion of data. With over 83% of hospitals in the UK moving towards EPRs, access to this healthcare data needs to be monitored proactively for malicious activity. It is paramount that hospitals maintain patient trust and ensure that the information security principles of integrity, availability and confidentiality are upheld when deploying EPR systems. In this paper, an investigation methodology is presented towards the identification of anomalous behaviours within EPR datasets. Many security solutions focus on a perimeter-based approach; however, this approach alone is not enough to guarantee security, as can be seen from the many examples of breaches. Our proposed system can be complementary to existing security perimeter solutions. The system outlined in this research employs an internal-focused methodology for anomaly detection by using the Local Outlier Factor (LOF) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithms for benchmarking behaviour, for assisting healthcare data analysts. Out of 90,385 unique IDs, DBSCAN finds 102 anomalies, whereas 358 are detected using LOF. Full article
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Cognitive Training for the Treatment of Addictions Mediated by Information and Communication Technologies (ICT)
Future Internet 2020, 12(2), 38; https://doi.org/10.3390/fi12020038 - 14 Feb 2020
Cited by 1 | Viewed by 3875
This work constitutes a narrative review of the state of knowledge and advances in the intervention and treatment of addictions through the use of information and communication technologies, considering the growing demand for virtuality-mediated strategies that facilitate the approach of problems of public [...] Read more.
This work constitutes a narrative review of the state of knowledge and advances in the intervention and treatment of addictions through the use of information and communication technologies, considering the growing demand for virtuality-mediated strategies that facilitate the approach of problems of public health such as addictions, which increase considerably year after year. To this end, the reader will be provided with a current overview of the drug use trend; subsequently, a conceptualization of the concept of addiction and its understanding from a neurobiological perspective and, finally, the progress in terms of intervention processes and therapeutic approach will be presented; which will imply an approach to the concept of e-health and rehabilitation mediated by information and communication technologies (ICT). Full article
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