Emerging Trends of Internet of Things (IoT) Technologies for Healthcare Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (15 June 2024) | Viewed by 342
Special Issue Editor
Interests: context-aware applications; architectural models for smart systems; design healthcare systems; digital twins
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue on "Emerging Trends of Internet of Things (IoT) Technologies for Healthcare Systems". With the advancement in IoT technologies, it is now possible to collect, monitor and analyze data from various healthcare devices and systems remotely. It integrates traditional healthcare services with information technology, revolutionizing the way healthcare is delivered.
The aim of this Special Issue (SI) is to showcase the latest IoT solutions for healthcare systems on a shared platform for academia and industry researchers. This will advance the state-of-the-art of this field by eliciting new applications and disruptive solutions for medical science and healthcare. For example, these applications can protect patients and help physicians by providing advice and recommendations. Papers should present original and innovative work that adds value to current solutions, considering the challenges of this highly regulated industry. Contributions to this SI should include (but are not limited to):
- IoT system architectures in healthcare;
- IoT solutions for eHealth applications;
- Mobile sensing for healthcare systems;
- IoT and cybersecurity in eHealth systems;
- New platforms and solutions for eHealth patient monitoring;
- Cloud and edge computing for IoT-eHealth;
- Interoperability and standards for IoT-eHealth;
- Machine learning and artificial intelligence in eHealth;
- Ambient assisted living IoT for active and healthy aging;
- Implantable IoT devices;
- eHealth-oriented software architectures;
- Context awareness and autonomous computing for ambient assisted living;
- Fog and pervasive computing for eHealth;
- Smart healthcare systems;
- Telemonitoring systems for eHealth;
- Design architectural models for eHealth;
- Data analytics for eHealth systems;
- Big data architectural models for eHealth;
- Artificial intelligence healthcare architectural models;
- Interpretability and accuracy of healthcare systems.
Prof. Dr. Hamid Mcheick
Guest Editor
Manuscript Submission Information
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Keywords
- eHealth
- IoT
- remote patient monitoring
- telemedicine
- wearable devices
- digital health records
- cloud computing
- fog and edge computing
- pervasive computing
- artificial intelligence
- machine learning
- data analytics
- big data
- ambient assisted living
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