Call for Papers for the Special Issue: Insight - Information & Systems
The Introduction of the Special Issue
Latest developments in Internet of Things (IoT) have seen a major modification towards healthcare technology. IoT technologies are progressively 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 advanced 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 lowcost, 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.
Commonly, 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. At present, 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 wisely 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. Overall, the goal of this proposed Special Issue 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.
The Research Scope of the Special Issue
· 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
The Article Title of the Special Issue
1: Internet of Medical Things and healthcare delivery in chronic diseases
2: Technologies in Medical Information Processing
3: Wireless and Wearable sensor networks for Patient Health Monitoring
4: Smart Health Care Monitoring System For War End Soldiers Using Convolutional neural network
5: Developing Security Solutions for Telemedicine Applications
Submission guidelines
All papers should be submitted via the Insight - Information & Systems submission system:
http://insight.piscomed.com/index.php/IIS
Submitted articles should not be published or under review elsewhere. All submissions will be subject to the journal’s standard peer review process. Criteria for acceptance include originality, contribution, scientific merit and relevance to the field of interest of the Special Issue.
Important Dates
Paper Submission Due: August 15 ,2019
The Lead Guest Editor
Sandhiya Ravi
