Telemedicine Applications in the Internet of Things
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (1 November 2024) | Viewed by 4202
Special Issue Editor
Interests: machine-to-machine communication; IoT applications; industry 4.0; cyber-physical production systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Telemedicine has become a new paradigm in healthcare. However, the question is: where is it going next? The latest innovations in telemedicine technology have integrated artificial intelligence (AI) to help providers work more efficiently, keep patients connected with wearables and other tools for remote patient monitoring, and even use robotics to bring specialty care to places it has never been. Modern healthcare and the Internet of Medical Things (IoMT) thus refer to a connected ecosystem of medical devices and software applications and services that can interlink with various healthcare IT systems to meet the needs of the transforming healthcare industry by supporting the transition from disjointed care to coordinated care and reactive to proactive care-delivery approaches.
This Special Issue discusses communications technologies used in the field of healthcare, including IoT, soft computing, machine learning, big data, augmented reality, and wearable sensors. It presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of this technology. The Special Issue also helps researchers and practitioners to understand and analyze the e-healthcare architecture through IoT and the state-of-the-art in IoT countermeasures with real-time challenges.
Topics of interest include (but are not limited to):
- Healthcare systems based on advanced development boards;
- Emerging architectures and technologies for telemedicine;
- Computer aided clinical diagnosis and therapy;
- Networked applications for tele-health;
- Medical signal and data processing;
- Algorithms for decision support and therapy improvement;
- Evolutionary computing and swarm intelligence applications for e-health and tele-health;
- Artificial Intelligence for tele-health;
- IoT and AI in Telemedicine;
- Telehealth Robots;
- Innovative IoMT devices and wearable and/or ambient sensors;
- Disease detection by IoT devices.
Dr. Marcelo V. Garcia
Guest Editor
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. Future Internet is an international peer-reviewed open access monthly 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 1600 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
- Internet of Medical Things
- remote patient monitoring
- telehealth
- smart healthcare
- IoMT framework
- health data analytics
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