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

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