e-Health Systems and Technologies
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 15 February 2025 | Viewed by 1492
Special Issue Editors
Interests: context awareness; pervasive and ubiquitous computing; IoT; e-Health; smart and media services in heterogeneous environments; smart content delivery; content-centric
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; software engineering; embedded systems; software–hardware integration; sensors and wearables; cyber security; mutli-agent systems; healthcare informatics; movement science and movement and art therapy
Special Issues, Collections and Topics in MDPI journals
Interests: multimedia documents and applications; adaptation and user profiling; semantic web
Special Issues, Collections and Topics in MDPI journals
Interests: computer network; Internet of Things; AIoT: artificial Intelligent of Things; applied cryptography; blockchain
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague,
Healthcare is a dynamic field that is constantly evolving, with technological advancements playing a significant role in improving the quality of care provided to patients. The emergence of Health Information Technology (health IT), wireless sensor networks, and IoT have contributed to the development of innovative healthcare services that prioritize high-quality, effective, and efficient treatment efforts. Health applications and medical information systems have been established to make treatment proactive, safer, and more affordable, while sensor networks consist of resource-constrained devices that continuously collect an individual's health information and related behavior in real-time. IoT serves as a bridging platform that connects the physical world and cyberspace, allowing for efficient and productive healthcare services and applications.
In light of the economic recession and the COVID-19 pandemic, the need to strengthen health IT data governance, access potential, and interoperability has become even more apparent, and further research is needed to fill the gaps between the quality of service requirements and cost-effective implementation and operation. However, the integration of IoT and sensor networks has proven to be effective in the healthcare industry, improving performance and quality by integrating medical applications and providing high value to patients. These technologies have also been used for various e-Health applications, improving diagnostic and monitoring systems. This presents a unique opportunity to explore the challenges and opportunities presented by this rapidly evolving field, where traditional healthcare systems are unable to meet the needs of a continuously growing and developing society.
For this Special Issue, we invite researchers to submit papers on emerging eHealth applications and medical information systems that assess the impact of various health information technologies on the healthcare industry, both quantitatively and qualitatively. Possible research areas include, but are not limited to telemedicine, telehealth, and telecare; ambient-assisted living and patient empowerment systems; smart sensors for eHealth; clinical decision-making support and smart ePrescription; health data and text mining; artificial intelligence for eHealth; social media and online social networks for healthcare support; mobile healthcare applications; pervasive technologies; personalized medicine; big data and data management; wellness and prevention interventions; evaluation and modeling of healthcare service and mobile app usage; health information exchange and interoperability challenges related to EHRs and patient registries; public health informatics; and population health. We aim to showcase emerging technologies that can revolutionize healthcare and improve the delivery of healthcare services to patients, the elderly, and dependent persons. This Special Issue will be of interest to researchers, healthcare practitioners, and policymakers who are interested in improving the quality of healthcare services through innovative technologies.
If you want to learn more information or need any advice, you can contact the Special Issue Editor Penelope Wang via <[email protected]> directly.
Dr. Tayeb Lemlouma
Dr. Yevgeniya Kovalchuk
Dr. Sébastien Laborie
Prof. Dr. Abderrezak Rachedi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- advancements in eHealth technologies for improved healthcare services
- use of wireless sensor networks and IoT in eHealth
- application of Artificial Intelligence and machine learning in eHealth
- cutting-edge technologies such as 5G/6G networks and Thick and Big Data analysis in eHealth
- security and privacy in eHealth systems
- user acceptance and quality of experience of eHealth services
- augmented reality (AR), virtual reality (VR), and mixed reality (MR) in eHealth
- use of Digital Twin (DT) in eHealth
- robotic solutions for healthcare in eHealth
- norms for eHealth data exchange and distribution, such as HL7 and HIE
- context models for people monitoring and Activities of Daily Living (ADL) in eHealth
- edge computing for wearable medical devices in eHealth
- biometric analysis in eHealth
- delay-tolerant, fault-tolerant, and reliable communication in eHealth
- security and privacy for eHealth networking and services
- medical imaging, telemedicine, and IoT for eHealth
- biomedical and biosensors design in eHealth
- sensing of vital signs and signatures in eHealth
- eHealth services/applications for physical and mental health
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