AI-Enabled Low Power Implantable and Wearable Medical Devices
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (20 April 2022) | Viewed by 9545
Special Issue Editors
Interests: neural engineering; low power sensors/IoT devices; hardware accelerators; FPGAs/ASIC; applied artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: optimization and learning; acoustics; smart cities; sensors; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: Healthcare technology; medical imaging; image-guided surgery; surgical navigation and robotics; augmented reality; bioelectronics; imaging of epileptic activity and machine learning for stroke diagnosis
Special Issue Information
This Special Issue seeks submissions detailing cutting edge research from academia, industry, and practitioners with an emphasis on original, novel, innovative, and impact-oriented research providing insights into “AI-Enabled Low-Power Implantable and Wearable Medical Devices”. This Special Issue seeks all types of manuscripts, including reviews, research articles, and communications). An area of particular interest to this Special Issue is research that considers intelligent machine learning-based front-end sensing that could be embedded into low-power implantable and wearable medical devices as well as AI-enabled medical devices that will promote user autonomy and independent living.
The submissions will undergo rigorous peer review, where each submitted paper will be reviewed by independent experts. We also recommend the submission of supplementary material with each paper, including test data and multimedia, as it significantly increases the visibility, downloads, and citations of articles.
Selection and Evaluation Criteria
- Relevance to the topics of this Special Issue
- Research novelty (e.g., new techniques) and potential impact
- Content quality and readability
To summarise, this Special Issue aims to bring together innovative developments and synergies in the below-mentioned topics but are not limited to the following:
- Embedded machine learning in wearable/implantable devices;
- Flexible electronic wearable devices;
- Textile sensors;
- Low-power electronic solutions for signals acquisition and processing from wearable sensors;
- Conductive/e-textiles for body area sensing;
- Non-conventional patient monitoring;
- Wearable devices for environmental monitoring;
- SoC for health monitoring applications;
- Algorithms for front-end sensing;
- 3D printing technology applied to wearable sensor development;
- 5G based IoT paradigms for wearable/implantable devices;
- 5G for remote patient/environment sensing;
- Remote charging for low power implantable devices;
- Software development for wearable sensors and body sensor networks.
We invite the scientific community to support Sensors (IF 3.576) in this timely initiative by submitting new and groundbreaking papers that will establish the roadmap for future research.
Dr. Arfan Ghani
Dr. Chan H. See
Dr. Thomas Dowrick
Guest Editors
Manuscript Submission Information
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