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Recent Progress and Challenges of Digital Health and Bioengineering, 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 20 October 2026 | Viewed by 752

Editors


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Guest Editor
Faculty of Medical Bioengineering, Grigore T. Popa University of Medicine and Pharmacy of Iași, 9-13 Kogalniceanu Str., 700454 Iasi, Romania
Interests: artificial intelligence and machine learning in biomedical sensing; medical robotics, biomedical signal processing; e-health; assistive technologies; wearable medical sensors and devices; robot process automation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is connected to the 14th IEEE International Conference on e-Health and Bioengineering (EHB 2026 http://www.ehbconference.ro/Home.aspx). We welcome extended versions of submissions from the conference and regular submissions within this field. Also, we expect improved versions of papers presented at the EHB 2025 conference.

The main objective of the EHB 2025 and 2026 conferences and of this Special Issue is to cover a broad spectrum of up-to-date topics of digital health and medical bioengineering/biomedical engineering by allowing scientists from diverse fields to participate in the presentation, discussion, and evaluation of the latest advances, research challenges, and opportunities in hardware/software technologies, medical devices/instrumentation, biosignal and image processing, biomaterials, biomechanics, biotechnologies, bioinformatics, micro- and nanotechnologies, systems biology, or virtual physiological humans. Nevertheless, we also welcome regular research or review articles on all aspects of digital health and bioengineering.

The topics include but are not limited to:

  • Medical robotics and actuators;
  • Medical imaging, image processing, and analysis;
  • Biosignal processing;
  • Telemedicine, e-health, and telecommunications;
  • Wearable systems and sensors, m-health and p-health systems;
  • Internet in healthcare and medical web portals;
  • Cloud computing;
  • Decision support systems and artificial intelligence in medicine;
  • Internet and network applications;
  • Wireless sensor networks;
  • Laser technology and optical communication;
  • Microelectronics;
  • Healthcare in the space environment;
  • Optoelectronics for health;
  • Embedded systems;
  • Biomechanics;
  • Micro and nanotechnology for medicine;
  • Medical physics and biophysics;
  • Medical devices and equipment;
  • Measurement and instrumentation in bioengineering;
  • Biometrics, forensics, and security;
  • Health technology assessment;
  • Rehabilitative and assistive technologies;
  • Electromagnetic compatibility;
  • Instrumental analysis and laboratory technologies;
  • Molecular bioengineering;
  • Bioengineering in dental and oral health;
  • Multimedia applications for medical and healthcare education and e-learning;
  • Neurosciences;

Biomedical sciences communication and career development.

Prof. Dr. Hariton-Nicolae Costin
Dr. Gladiola Petroiu
Dr. Cristian Rotariu
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences 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 2400 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

  • medical robotics and actuators
  • medical imaging, image processing, and analysis
  • biosignal processing
  • telemedicine, e-health, and telecommunications
  • wearable systems and sensors, m-health and p-health systems
  • internet in healthcare and medical web portals
  • cloud computing
  • decision support systems and artificial intelligence in medicine
  • internet and network applications
  • wireless sensor networks
  • laser technology and optical communication
  • microelectronics
  • healthcare in the space environment
  • optoelectronics for health
  • embedded systems
  • biomechanics
  • micro and nanotechnology for medicine
  • medical physics and biophysics
  • medical devices and equipment
  • measurement and instrumentation in bioengineering
  • biometrics, forensics, and security
  • health technology assessment
  • rehabilitative and assistive technologies
  • electromagnetic compatibility
  • instrumental analysis and laboratory technologies
  • molecular bioengineering
  • bioengineering in dental and oral health
  • multimedia applications for medical and healthcare education and e-learning
  • neurosciences
  • biomedical sciences communication and career development

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Related Special Issue

Published Papers (2 papers)

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Research

18 pages, 2573 KB  
Article
Remote Wireless Oral Control of a Robotic Manipulator and a Powered Wheelchair, and Its Evaluation with Paralyzed Users
by Ásgerður Arna Pálsdóttir, Rasmus Leck Kæseler, Bo Bentsen, Ellen Merete Hagen and Lotte N. S. Andreasen Struijk
Appl. Sci. 2026, 16(13), 6609; https://doi.org/10.3390/app16136609 - 2 Jul 2026
Viewed by 164
Abstract
The objective of this feasibility study was to demonstrate and evaluate a remotely tongue-controlled wheelchair mounted assistive robotic manipulator (ARM), for the first time with end users: three individuals with cervical spinal cord injury. For three days, they remotely tongue-controlled the wheelchair and [...] Read more.
The objective of this feasibility study was to demonstrate and evaluate a remotely tongue-controlled wheelchair mounted assistive robotic manipulator (ARM), for the first time with end users: three individuals with cervical spinal cord injury. For three days, they remotely tongue-controlled the wheelchair and the ARM (WMARM) to complete two activities of daily living (ADL): Driving the wheelchair and ARM to a remote setting to (1) pick up a bottle and (2) pick up a ball. The participants controlled the system using full manual control by tongue and through semi-automation. Finally, the participants answered a NASA Task Load Index (TLX) questionnaire and a semi-structured interview. Results: All participants were able to remotely control the WMARM by tongue. Semi-automation resulted in shorter task completion time, gripping time and fewer commands as compared with manual control. Semi-automation decreased the measured mental load in the NASA TLX questionnaire by an average of 57%. The participants rated high satisfaction with the system. Conclusion: It was possible for the users with tetraplegia to control the wheelchair with the ARM using their tongue to perform ADL in Wi-Fi-based remote setting. This proposed system has the potential to increase independence and social interaction of individuals with tetraplegia. Full article
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19 pages, 1099 KB  
Article
PDE-Refined Local Fractal Dimension Prior Conditioning and Topology-Aware Refinement for Retinal Vessel Segmentation with a Swin-UNet-Style Backbone
by Lucian Alexandru Murgu and Tudor Barbu
Appl. Sci. 2026, 16(11), 5559; https://doi.org/10.3390/app16115559 - 2 Jun 2026
Viewed by 339
Abstract
Retinal vessel segmentation remains challenging for thin vessels and low-contrast bifurcations. We evaluate a Swin-UNet-style model family that conditions decoder features with a single-channel local fractal dimension prior refined by a short learnable anisotropic diffusion model and injected through Spatially-Adaptive Normalization (SPADE). On [...] Read more.
Retinal vessel segmentation remains challenging for thin vessels and low-contrast bifurcations. We evaluate a Swin-UNet-style model family that conditions decoder features with a single-channel local fractal dimension prior refined by a short learnable anisotropic diffusion model and injected through Spatially-Adaptive Normalization (SPADE). On Fundus Image Vessel Segmentations (FIVES), the strongest no-test-time-augmentation result was obtained by OPT-I v2 at 200 epochs, reaching Dice 0.8899, clDice 0.8517, and Area Under the ROC Curve (AUC) 0.9904, compared with 0.8643, 0.8125, and 0.9856 for the matched 200-epoch baseline. In a matched Neural Cellular Automata (NCA)/no-NCA ablation using the same seed, data, 200-epoch budget, and evaluation pipeline, enabling NCA improved the test Dice from 0.8813 to 0.8907 and the test clDice from 0.8325 to 0.8518, with NCA winning on all 80 paired test images for both metrics. The results support PDE (partial differential equation)-SPADE fractal prior conditioning and NCA topology refinement as ablation-grounded improvements over the tested baseline family, while broader matched external validation requires future work. Full article
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