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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.

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In an era where technology is expanding at a rapid rate and the needs for medical application of these technologies has never been greater, the intersection between engineering, medicine and biology is a critical place to be. The IEEE Engineering in Medicine and Biology Society is well-positioned to serve as a central gathering point for both of these major disciplines.

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Featured Articles

Deep Network Regularization for Phase-based Magnetic Resonance Electrical Properties Tomography with Stein’s Unbiased Risk Estimator https://www.embs.org/tbme/wp-content/uploads/sites/19/2024/12/TBME-00064-2025-Front-Cover-Figure-scaled.jpg 2560 1906 IEEE Transactions on Biomedical Engineering (TBME) IEEE Transactions on Biomedical Engineering (TBME) //www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png January 1, 2025 January 9, 2025

January 1, 2025

Deep Network Regularization for Phase-based Magnetic Resonance Electrical Properties Tomography with Stein’s Unbiased Risk Estimator

This study is the first to develop a self-supervised denoiser for featureless RF phase corrupted by non-Gaussian noise, utilizing a randomly initialized CNN prior that is optimized with an unbiased estimator.

Robust Path Planning via Learning from Demonstrations for Robotic Catheters in Deformable Environments https://www.embs.org/tbme/wp-content/uploads/sites/19/2024/12/TBME-00345-2024-Website_Image.jpeg 789 444 IEEE Transactions on Biomedical Engineering (TBME) IEEE Transactions on Biomedical Engineering (TBME) //www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png January 1, 2025 January 9, 2025

January 1, 2025

Robust Path Planning via Learning from Demonstrations for Robotic Catheters in Deformable Environments

This study presents a robust path planning framework for motorized steerable catheter, which uniquely considers both the deformable nature of the environment and the dynamic movements of the target.

Enhanced Technique for Accurate Localization and Life-Sign Detection of Human Subjects Using Beam-Steering Radar Architectures https://www.embs.org/tbme/wp-content/uploads/sites/19/2025/01/TBME-01380-2024-Website-Image-pdf.jpg 1052 592 IEEE Transactions on Biomedical Engineering (TBME) IEEE Transactions on Biomedical Engineering (TBME) //www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png January 1, 2025 January 18, 2025

January 1, 2025

Enhanced Technique for Accurate Localization and Life-Sign Detection of Human Subjects Using Beam-Steering Radar Architectures

We present a signal processing technique for beam-steering radar architectures enabling simultaneous 2-D localization and vital signs monitoring, including heart rate and respiration rate, in human subjects.

Image-Derived Skeletal Muscle Activation Metric Map: a Forearm Study Using Ultra-Fast Ultrasound Imaging and High-Density Electromyography https://www.embs.org/tbme/wp-content/uploads/sites/19/2025/01/TBME-00541-2024-Website-Image-1.gif 640 360 IEEE Transactions on Biomedical Engineering (TBME) IEEE Transactions on Biomedical Engineering (TBME) //www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png January 1, 2025 January 9, 2025

January 1, 2025

Image-Derived Skeletal Muscle Activation Metric Map: a Forearm Study Using Ultra-Fast Ultrasound Imaging and High-Density Electromyography

We derived muscle activation metrics using ultra-fast ultrasound imaging, which can be alternative or complementary to surface electromyography for investigating skeletal muscle function, and diagnosis or prognosis of associated diseases.

Learning a Hand Model from Dynamic Movements Using High-Density EMG and Convolutional Neural Networks https://www.embs.org/tbme/wp-content/uploads/sites/19/2024/11/TBME-00872-2024-Website-Image-R.gif 750 422 IEEE Transactions on Biomedical Engineering (TBME) IEEE Transactions on Biomedical Engineering (TBME) //www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png November 29, 2024 November 29, 2024

November 29, 2024

Learning a Hand Model from Dynamic Movements Using High-Density EMG and Convolutional Neural Networks

Deep learning model decodes surface electromyographic signals into proportional hand movements, accurately controlling both individual finger and compound movements, with potential to enhance intuitive interfaces for assistive hand devices.

Closing the Loop on Concentric Tube Robot Design: A Case Study on Micro-Laryngeal Surgery https://www.embs.org/tbme/wp-content/uploads/sites/19/2024/11/TBME-00975-2024-Website_Image.jpeg 789 444 IEEE Transactions on Biomedical Engineering (TBME) IEEE Transactions on Biomedical Engineering (TBME) //www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png November 29, 2024 November 29, 2024

November 29, 2024

Closing the Loop on Concentric Tube Robot Design: A Case Study on Micro-Laryngeal Surgery

We present a design workflow for concentric tube robots that accounts for manufacturing uncertainty and provides fabrication tolerances that aim to balance cost and robot performance.

Current Issue

TBME, Volume 70, Issue 12, December 2024

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