NOTE: The best HealthCom papers will be selected to be published in Special Issues of the following journals. The authors must provide a significant extension that meets the expectation of the journal. Articles should undergo another round of reviews before final acceptance.
|
|
IEEE Internet of Things Journal CALL FOR PAPER for Special Issue on Advances in eHealth Networking, Applications, and Services |
Description
The recent progress in electronics, computational capabilities, and networking has resulted in great advances in new applications in the general area of Internet of Things (IoT). Nowadays, almost all our devices are connected; hence, IoT is currently playing a vital part in almost every aspect of our daily lives. One very promising direction of IoT is eHealth. eHealth is one field that has been seeing major advancements. eHealth has been widely investigated, towards enhancing the life quality of citizens, worldwide. However, eHealth field still requires more research and investigation, to advance the field of eHealth and increase its quality, in addition to enhance our health quality and increase our life expectancy. Towards the enhancement of the field of eHealth, this Special Issue (SI) provides an opportunity to bring together healthcare professionals, researchers, scientists, engineers, academics and students from all around the world to share their latest advances on new technologies and systems development in different healthcare and medicine applications.
In particular, we solicit original unpublished papers within the general eHealth area. The topics include, but are not limited to:
Signal/Data Processing and Computing for Health Systems
- Deep & Machine learning for eHealth solutions
- Edge computing for wearable medical devices
- Virtual tele-rehabilitation
- Biometric analysis (gait analysis, eye-tracking, falls, mHealth)
Communications and Networking
- Delay-tolerant, fault-tolerant and reliable communication
- Quality of Service (QoS) and Quality of Experience (QoE)
- In-hospital networking, body area and cloud-integrated networking
- 5G-based and B5G-based eHealth solutions
- Security and privacy for eHealth networking
Medical, Biomedical & Health Communication Systems
- Medical imaging
- Smart health and big data
- IoT for eHealth and Telemedicine
- Digital health for medical applications
- eHealth platforms
Medical and biomedical eHealth enablers and sensors
- Biomedical and biosensors design
- Sensing of vital signs and signatures
- Wearable medical wireless sensors
- In-Body medical sensors
Service & Applications
- eHealth services/applications for physical and mental health
- eHealth services/applications for sports and exercise
- eHealth services/applications for public health (disease prevention, pandemic preparedness)
- eHealth services/applications for extreme environments
- IoT solutions for remote or in-home patient monitoring
- Context awareness and autonomous computing for Ambient Assisted Living
- Artificial Intelligence (AI) for eHealth application
- eHealth services/applications for COVID-19
- mHealth and digital health applications and software
- Quality of experience (QoE) for eHealth services/applications
- Security, privacy and trust for e-Health services/applications
Guest Editors:
Ayman Radwan, University of Aveiro, Portugal.
Sabah Mohammed, Lakehead University, USA.
Hsi-Pin Ma, National Tsing Hua University, Taiwan.
Christos Verikoukis, University of Patras, Greece
Important Dates:
- Submission Deadline: December 15, 2022
- First Review Due: January 31, 2023
- Revision Due: February 28, 2023
- Sec. Reviews Due/Notification: April 15, 2023
- Final Manuscript Due: May 15, 2023
- Publication Date: 2023
|
|
MDPI Sensors Journal CALL FOR PAPER for Special Issue on |
E-Health Networking has played important roles in healthy Applications This special issue will focus on the following three-fold scope: (1) aim to discuss the latest advancements in the eHealth field by presenting innovative and efficient solutions. (2) aim to will illustrate practical aspects of eHealth solutions through experimental results and by analyzing the response to technology-assisted medical care and treatments. (3) aim to offer further directions for research posing new problems and challenges in the eHealth field.
The topics include but are not limited to:
- Signal/Data Processing and Computing for Health Systems
- Deep and machine learning for eHealth solutions
- Edge computing for wearable medical devices
- Biometric analysis (gait analysis, eye-tracking, falls, mHealth)
- In-hospital networking, body area, and cloud-integrated networking
- 5G-based eHealth solutions
- Medical, Biomedical, and Health Communication Systems
- Medical imaging
- Signal processing, data cleansing, management, and mining
- Smart health and big data
- IoT for eHealth and telemedicine
- Integration of medical devices with eHealth platforms
- Wearable and implantable devices
- Device security and safety
- Wearable devices against COVID-19
- eHealth services/applications for physical and mental health
- eHealth services/applications for sports and exercise
- eHealth services/applications for public health (disease prevention, pandemic preparedness)
- eHealth services/applications for extreme environments
- eHealth services/applications for COVID-19
- mHealth applications and software
- Quality of experience (QoE) for eHealth services/applications
- Security, privacy, and trust for eHealth services/applications
- eHealth case studies and applications
- eHealth for neurological diseases
- EEG/MEG in brain network analysis
Guest Editors:
Prof. Andrea Sciarrone, University of Genoa, Italy.
Prof. Simon James Fong, Lakehead University, USA.
Prof. Sabah Mohammed, Lakehead University, USA.
Prof. Jinan Fiaidhi, National Tsing Hua University, Taiwan.
Important Dates:
- Submission Deadline: March 10th, 2023
|
|
Journal of Communications Software and Systems CALL FOR PAPER for Special Issue on |
Fostering IoT and Cloud services brought e-Health to become one of the major research topics that have been attracting cross disciplinary research groups. The deployment of new emerging ICT technologies for Health, especially based on Cloud computing, Internet of Things (IoT), and Computational Intelligence, is attracting the interest of many researchers. The use of Cloud computing, IoT technologies, and methods typical of Soft Computing and Computational Intelligence have been very prominent recently and can be of great help in finding good solutions to many practical healthcare applications. For instance, health monitoring, health data storage, health data collection, mobile health, pervasive health, healthcare monitoring, telemedicine, context-aware computing, ubiquitous computing, processing health data in the cloud, securing health data in the cloud and Assistive Technology (AT) are areas of interest that are being addressed using cloud computing and IoT techniques. On the other hand, several challenging issues have raised due to the adoption of such emerging technologies. These include the quality of health data, the ability to retrieve information and use it in health context, as for example in tasks related to machine learning, knowledge discovery, decision support, regression, forecasting, optimization, feature selection, and additionally privacy and security issues of health data while being processed in the cloud, availability of health data, models of context and tele-monitoring of contextual applications. Researchers from various engineering areas, as well as industry, government, and medical centers are invited to provide their input on these subjects.
Topics of interest include, but are not limited to:
- Cloud computing applications for eHealth
- Internet of Things (IoT) applications for eHealth
- Assistive Technology (AT)
- Informatization, Management and Organization of BME Environments
- Bioinformatics and Computational Biology and Medicine
- Communication, Networking and Monitoring in Biosystems
- Monitoring of Vital Functions with Sensor and ICT Systems
- Biosensors and Sensor Networks
- Advanced Bio-signal Processing
- Distributed BME Applications
- Telehealth, Telecare, Telemonitoring, Telediagnostics
- e-Healthcare, m-Healthcare, x-Health
- Assisted Living
- Smartphones in BME Applications
- Social Networking, Computing and Education for Health
- Computer Aided Diagnostics
- Improved Therapeutic and Rehabilitation Methods
- Intelligent Bio-signal Interpretation
- Data and Visual Mining for Diagnostics
- Advanced Medical Visualization Techniques
- Personalized Medical Devices and Approaches
- Modelling and Computer Simulations in BME
- Human Responses in Extreme Environments
- Other Emerging Topics in BME
- E-Accessibility
- Web accessibility
- Hardware & Software personalized assistive technologies
- Assistive systems for users who are blind or visually impaired
- Cloud computing and AT
- Integration between home-based assistive technologies and patient health data
- User-centered design of electronic assistive technologies
- Usability of assistive technologies
- Computer vision in AT
- User interfaces for home-based assistive technologies
- Use of prescription systems and assistive technologies
- Experience from real world assistive environment deployment
- Assistive Technologies for Urban Environments
- Healthcare modeling and simulation
- Knowledge discovery and decision support
- Biomedical data processing
- Wearable devices
- Sensor-based mHealth applications
Guest Editors:
Andrea Sciarrone, University of Genoa, Italy
Chiara Garibotto, University of Genoa, Italy
Petar Solic, University of Split, FESB, Croatia
Simon Fong, University of Macau, Macau
Nada Philip, Kingston University, UK
Fatima Domingues, Instituto de Telecomunicações-Aveiro, Portugal
Important Dates:
- Submissions due: February 21, 2023
- Notification of acceptance by: May 21, 2023
- Online publication by: June 1, 2023
- Issue published: September 2023
