Intelligent Wearable and Implantable Devices for Biomedical Applications
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 5506
Special Issue Editors
Interests: integrated circuits and systems for biomedical applications; brain–computer interfaces (BCIs); neuromorphic computing; system-on-a-chip
Interests: brain imaging; neural engineering; neuroinformatics; motor control; neurorehabilitation; wearable devices; biomedical signal processing; digital biomarkers
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The healthcare industry has recently seen a rising demand for miniaturization, low power consumption, rapid treatments, and minimally invasive and non-invasive clinical methods. To meet these needs, researchers are exploring new technological paradigms that enhance diagnostic accuracy while ensuring patient compliance. Neuromorphic engineering, which utilizes neural models in hardware and software to mimic brain-like behaviors, can revolutionize medicine by offering low power, low latency, compact, and high bandwidth solutions. Implementing neuromorphic computing in wearable or implantable devices—where biological data such as cardiac or brain signals are sensed and transmitted—can significantly minimize power consumption, extend battery life, reduce device size, and add intelligent features to the system. Additionally, it enables quicker decision-making through edge computing (edge AI) and allows the system to learn and adapt independently of individual patients.
Therefore, this Special Issue on “Intelligent Wearable and Implantable Devices for Biomedical Applications” will focus on original research papers and comprehensive reviews, dealing with circuits and systems techniques for intelligent wearable and implantable devices. A system such as this includes not only neuromorphic computing but also its interface and front-end design. Topics of interest for this Special Issue include, but are not limited to, the following:
- Bio-inspired and neuromorphic circuits and systems;
- Spiking neural networks and temporal processing;
- Brain–computer interfaces;
- Emerging technologies for neuromorphic computation;
- Implantable and wearable health devices and systems;
- Biosensor and interface circuits;
- Biotelemetry circuits and systems;
- Bioelectronics;
- Electrical stimulation, neuromodulation, and closed-loop systems;
- Organic semiconductors.
Dr. Milad Zamani
Prof. Dr. Dante Mantini
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. Bioengineering 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 2700 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
- bio-inspired and neuromorphic computation
- spiking neural networks
- biosensor devices and interface circuits
- bioelectronics
- biosensors
- biotelemetry
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