Special Issue "Internet of Healthcare Things (IoHT): Methods, Advances, and Applications"
Deadline for manuscript submissions: closed (31 May 2020).
Instituto de Telecomunicações, 1049-001 Lisboa, Portugal
Interests: Internet of Things; wireless and body sensor networks; mobile and eHealth technologies; future internet technologies; vehicular communications; mobile and cloud computing
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Interests: IoT in Healthcare, Medical Imaging, Wireless Body Area Sensor Networks
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:
- Applications of IoHT in Biomedical Signal/Image Processing
- Healthcare Data Analytics in IoHT
- Cloud/Fog Computing for IoHT
- Advanced Biomedical Data Protection under IoT
- Cyber-Security and Block-Chain in Healthcare
- Learning Approaches for Biomedical-IoT
- Optimization and Performance Evaluation under IoHT
- Remote Monitoring Applications
- Healthcare Application Page
- Telemedicine, m-Health, e-health
- Body Sensors in IoHT
- Bigdata in IoT-Healthcare
- Artificial Intelligence and Decision Supports
- Automated Disease Diagnostic Tool
- Quality of Life in Healthcare
- Smart Healthcare Systems
- Sensing and Detecting Devices
- Semantic Depiction of Human Body data
- Nurse Challenges with IT and EMRs
- Patients Streaming Data Processing
- ICT for IoT-Healthcare
- Mobile Healthcare
- Patient-Centered Care
Prof. Dr. Joel J. P. C. Rodrigues
Dr. Chinmay Chakraborty
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 papers will be 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 1000 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)