Advances in E-health Networking and Its Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 7033
Special Issue Editors
Interests: digital signal processing; eHealth applications; mobile computing
Special Issues, Collections and Topics in MDPI journals
Interests: data stream mining; big data; advanced analytics; bio-inspired optimization algorithms and applications; business intelligence; e-commerce; biomedical applications; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Interests: internet of medical things; web intelligence; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: thick data analytics; web mining; learning analytics; social networking; web services; interoperability; software agility development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
E-health networking has played important roles in health applications. This Special Issue will focus on the following three-fold scope: (1) aim to discuss the latest advancements in the e-health field by presenting innovative and efficient solutions; (2) aim to illustrate practical aspects of e-health solutions through experimental results and by analyzing the responses to technology-assisted medical care and treatments; and (3) aim to offer further directions for research by posing new problems and challenges in the e-health field.
The topics include, but are not limited to, the following:
- Sensor-based e-health systems.
- Signal/data processing and computing for health systems.
- Deep and machine learning for e-health solutions.
- Edge computing for wearable medical devices.
- Biometric analyses (gait analysis, eye tracking, falls, and mHealth).
- In-hospital networking, body area, and cloud-integrated networking.
- E-health solutions based on 5G.
- Medical, biomedical, and health communication systems.
- Medical imaging.
- Signal processing, data cleansing, management, and mining.
- Smart health and big data.
- The IoT for e-health and telemedicine.
- Integration of medical devices with e-health platforms.
- Wearable and implantable devices.
- Device security and safety.
- Wearable devices against COVID-19.
- E-health services/applications for physical and mental health.
- E-health services/applications for sports and exercise.
- E-health services/applications for public health (disease prevention, pandemic preparedness).
- E-health services/applications for extreme environments.
- E-health services/applications for COVID-19.
- mHealth applications and software.
- Quality of experience (QoE) for e-health services/applications.
- Security, privacy, and trust for e-health services/applications.
- E-health case studies and applications.
- E-health for neurological diseases.
Dr. Andrea Sciarrone
Dr. Simon Fong
Prof. Dr. Sabah Mohammed
Prof. Dr. Jinan Fiaidhi
Guest Editors
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