IEEE Transactions on Biomedical Engineering
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IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions. Source
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| Language | English |
| Country | United States of America |
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Recent Articles
Search ArticlesFEMBA on the Edge: Physiologically-Aware Pre-Training, Quantization, and Deployment of a Bidirectional Mamba EEG Foundation Model on an Ultra-low Power Microcontroller
Authors: Anna Tegon, Nicholas Lehmann, Yawei Li, Andrea Cossettini, Luca Benini, and Thorir Mar Ingolfsson FEMBA addresses the gap between large EEG foundation models and the severe memory, latency, and power limits of wearable neuro-monitoring hardware. The proposed FEMBA-Tiny encoder uses two bidirectional Mamba blocks to model long EEG sequences with linear complexity, while a lightweight Transformer decoder is used only during pre-training.
A Dynamic Mutual Information Measure of Phase-Amplitude Coupling with Uncertainty Quantification
Authors: Andrew S. Perley and Todd P. Coleman Phase-amplitude coupling (PAC) describes how the phase of a slow rhythm modulates faster activity. Because PAC may reflect neural excitability and communication, resolving when it changes is important for studying transient and event-related physiology. We introduce dynamic gamma PAC (dgPAC), a probabilistic state-space method for point-in-time PAC estimation.
Polyimide-Based Neural Interfaces from Implantation to Microscopy: Stability Across Fixation and Storage Conditions
Authors: Ioana-Georgiana Vasilaș, Anagha Navale, Paul Čvančara, Ali Usama, Bastian Rapp, Thomas Stieglitz Can we trust what we observe after a neural implant is explanted? Delamination and structural alterations are frequently reported, yet distinguishing changes associated with implantation from those introduced during routine post-mortem processing remains challenging.
Forward-viewing intravascular ultrasound: Design and fabrication for high sensitivity 3D imaging of hemodynamics
Authors: Stephan Strassle Rojas, Travis C. Singh, Jimena Martín Tempestti, Alessandro Veneziani, Brooks D. Lindsey Percutaneous coronary intervention (PCI) is a minimally invasive procedure for alleviating symptoms of myocardial ischemia by stenting stenotic coronary arteries. Wall shear stress (WSS) is an established indicator of plaque rupture risk and likelihood of restenosis, however, it is not currently used to guide stenting.
Explainable ECG analysis by explicit information disentanglement with VAEs
Authors: Viktor van der Valk, Douwe Atsma, Roderick Scherptong and Marius Staring Accurate interpretation of ECG signals is essential for diagnosing cardiac conditions, but traditional expert-driven analysis is time-consuming, costly, and prone to overlooking subtle diagnostic features. While AI has demonstrated strong potential for automating ECG interpretation, most existing models lack the explainability that clinicians require to trust and act on their predictions.
Computerized Assessment of Motor Imitation for Distinguishing Autism in Video (CAMI-2DNet)
Authors: Kaleab A. Kinfu, Carolina Pacheco, Alice D. Sperry, Deana Crocetti, Bahar Tunçgenç, Stewart H. Mostofsky, René Vidal Autism is a highly complex condition affecting approximately 1 in 100 people, yet demand for timely diagnosis and support outpaces available services. This gap calls for scalable, objective behavioral measures that capture individual differences and complement clinical assessments.
Analytical Ground Truth for Phase-Contrast MRI Experiments and Simulations: Open-Source Precision-Controlled Bidirectional Rotational Phantom
Authors: Yu Wang, Sina Thuemmler, Sebastian Schmitter, Hannes Dillinger Motion-related artefacts remain a major challenge in phase-contrast MRI (PC-MRI) and 4D Flow MRI, limiting the accuracy and comparability of flow measurements across studies and imaging platforms.
Fully-flexible multifunctional polydimethylsiloxane (PDMS) neural probe with a U-turn polyester microchannel
Authors: Mohammad Makhdoumi Akram, Amir Aghajani, Jonathan Lévesque, Réjean Fontaine, Frédéric Nabki, Wei Shi, Benoit Gosselin Fully flexible neural probes offer significant advantages for chronic brain interfacing, but their implantation remains challenging because materials that closely match the mechanical properties of neural tissue are often too soft to penetrate the brain without buckling.
Combining Spatial Wavelets and Sparse Bayesian Learning for Extended Brain Sources Reconstruction
Authors: Samy Mokhtari, Jean-Michel Badier, Christian G. Bénar, Bruno Torrésani The accurate reconstruction of extended cortical activity from M/EEG data is a difficult, ill-conditioned problem. Improving brain sources localization, and overcoming current limitations of classical distributed methods, is an important and ongoing effort for both mathematicians and practitioners, especially for clinical applications such as epilepsy.
Teleoperation Architectures for Remote Ultrasound Diagnostic Imaging: A Systematic Review
Authors: Eleonora Storto, Massimiliano Solazzi, Mario Meola, Antonio Frisoli, and Francesco Porcini Ultrasound is a safe, non-invasive, and widely used diagnostic technique, but access to expert examinations remains limited in remote, emergency, and resource-constrained settings. Robotic teleultrasound addresses this problem by enabling physicians to perform remote ultrasound examinations through teleoperated systems.