IEEE Transactions on Biomedical Engineering最新文献

{"title":"IEEE Transactions on Biomedical Engineering Information for Authors","authors":"","doi":"10.1109/TBME.2025.3556622","DOIUrl":"https://doi.org/10.1109/TBME.2025.3556622","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 5","pages":"C3-C3"},"PeriodicalIF":4.4,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10974417","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IEEE Engineering in Medicine and Biology Society Publication Information","authors":"","doi":"10.1109/TBME.2025.3556620","DOIUrl":"https://doi.org/10.1109/TBME.2025.3556620","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 5","pages":"C2-C2"},"PeriodicalIF":4.4,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10974415","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Pilot Study on Fabric-based Pneumatic Soft Gloves for Assisting Patients with Severe Brachial Plexus Injury.","authors":"Miao Feng, Dezhi Yang, Jianing Sun, Jie Lao, Jing Rui, Guoying Gu","doi":"10.1109/TBME.2025.3563348","DOIUrl":"https://doi.org/10.1109/TBME.2025.3563348","url":null,"abstract":"<p><strong>Objective: </strong>Robotic gloves show promise in hand assistance due to their wearability and home-based potential, yet empirical research remains limited. This pilot study presents a fabric-based pneumatic soft glove, aiming to identify its potential and challenges in clinical practice by evaluating its effectiveness in assisting patients with severe brachial plexus injury (BPI).</p><p><strong>Methods: </strong>The glove integrates a thumb abduction actuator and four bidirectional fabric-based pneumatic actuators (FPAs) with asymmetric chambers for high output force. Sixteen healthy volunteers and five individuals with BPI, all of whom lacked active hand and wrist movements, were recruited. Participants performed object grasping across 25 cm. The healthy group performed seven tasks using objects weighing up to 2 kg, with muscle activities recorded for analysis. The BPI group further performed tasks with eight objects from the action research arm test (ARAT) and twelve objects for activities of daily living (ADLs), encompassing various sizes, weights, and geometries.</p><p><strong>Results: </strong>In the healthy group, sEMG showed a decrease in 89.3% of trials, with 56.0% of these decreases being significant (p$< $0.01). For BPI group, the range of motion (ROM) improved, ranging from $28.5 pm 7.9^{circ }$ to $63.1 pm 5.1^{circ }$ (thumb) and $10.3 pm 17.5^{circ }$ to $122.5 pm 19.0^{circ }$ (index finger). With a zero baseline for all tasks, their completion rates were $6.8 pm 0.8$ out of 8 for ARAT tasks and $10.0 pm 1.7$ out of 12 for ADLs.</p><p><strong>Conclusion: </strong>The fabric-based pneumatic soft glove significantly enhanced the hand function of patients with severe BPI, demonstrating its potential for hand assistance.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143993320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Neighbor-Sensitive Multi-Modal Flexible Learning Framework for Improved Prostate Tumor Segmentation in Anisotropic MR Images.","authors":"Runqi Meng, Jingli Chen, Kaicong Sun, Qianqian Chen, Xiao Zhang, Ling Dai, Yuning Gu, Guangyu Wu, Dinggang Shen","doi":"10.1109/TBME.2025.3562766","DOIUrl":"https://doi.org/10.1109/TBME.2025.3562766","url":null,"abstract":"<p><p>Accurate segmentation of prostate tumors from multi-modal magnetic resonance (MR) images is crucial for the diagnosis and treatment of prostate cancer. However, the robustness of existing segmentation methods is limited, mainly because these methods 1) fail to flexibly assess subject-specific information of each MR modality and integrate modality-specific information for accurate tumor delineation, and 2) lack effective utilization of inter-slice information across thick slices in MR images to segment the tumor as a whole 3D volume. In this work, we propose a neighbor-sensitive multi-modal flexible learning network (NesMFle) for accurate prostate tumor segmentation from multi-modal anisotropic MR images. Specifically, we perform multi-modal fusion for each slice by developing a Modality-informativeness Flexible Learning (MFLe) module for selecting and flexibly fusing informative representations of each modality based on inter-modality correlation in a pre-trained manner. After that, we exploit inter-slice feature correlation to derive volumetric tumor segmentation. In particular, we first use a Unet variant equipped with a Sequence Layer, which can coarsely capture slice relationship using 3D convolution and an attention mechanism. Then, we introduce an Activation Mapping Guidance (AMG) module to refine slice-wise representations using information from adjacent slices, ensuring consistent tumor segmentation across neighboring slices based on slice quality assessment on activation maps. Besides, during the network training, we further apply a random mask strategy to each MR modality for improving feature representation efficiency. Experiments on both in-house and public (PICAI) multi-modal prostate tumor datasets demonstrate that our proposed NesMFLe achieves competitive performance compared to state-of-the-art methods.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empirical motion-artifact reduction for non-rigid motion in dedicated breast CT.","authors":"Mikhail Mikerov, Koen Michielsen, Nikita Moriakov, Juan J Pautasso, Sjoerd A M Tunissen, Andrew M Hernandez, John M Boone, Ioannis Sechopoulos","doi":"10.1109/TBME.2025.3562610","DOIUrl":"https://doi.org/10.1109/TBME.2025.3562610","url":null,"abstract":"<p><strong>Objective: </strong>The goal of this work is to develop a data-driven empirical motion-artifact reduction algorithm for non-rigid motion in dedicated breast CT.</p><p><strong>Methods: </strong>Breast CT is a novel imaging modality that offers fully 3D images at good spatial resolution without breast compression and tissue overlap. However, the slow rotation speed of the gantry in such systems increases the likelihood of motion artifacts. Because of the breast anatomy, motionartifact reduction techniques need to be able to handle artifacts induced by non-rigid motion, which cannot be modeled due to variable motion patterns and the breasts' inner structure, shape, and size. In this work, we present an iterative data-driven empirical algorithm to reduce motion artifacts in breast CT. The highlight of our method is the ability to perform transformations in the image domain using b-spline fields that are defined for each angle and can be efficiently updated with gradient descent and automatic differentiation.</p><p><strong>Result: </strong>We test the method using a simulation study, on physical phantoms, and clinical cases, and show that it can significantly reduce the appearance of motion artifacts.</p><p><strong>Conclusion and significance: </strong>This work introduces a fully data-driven empirical motion-artifact reduction capable of identifying and minimizing motion artifacts without an underlying model of motion.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method for Assessing Local Mechanical Properties of the Cornea Based on Spectroscopic Magnetomotive Optical Coherence Elastography.","authors":"Xinyu Zhang, Miaoqiong Ou, Ting Xiao, Siping Chen, Xin Chen, Yaxin Hu","doi":"10.1109/TBME.2025.3560022","DOIUrl":"https://doi.org/10.1109/TBME.2025.3560022","url":null,"abstract":"<p><strong>Objective: </strong>Current methods for assessing corneal mechanical properties are limited, particularly in their ability to provide localized information. This study proposes a novel approach based on the spectroscopic magnetomotive optical coherence elastography (MM-OCE) technique, aiming to enable non-invasive, localized evaluation of corneal mechanical properties.</p><p><strong>Methods: </strong>Magnetic nanoparticles (MNPs) were distributed on sample surfaces to induce vibrations via magnetic excitation. A spectral-domain OCT system combined with phase-sensitive OCT analysis tracked mechanical responses. Gelatin phantoms (varying stiffness) and ex vivo porcine corneas (untreated vs. crosslinked [CXL] regions) were tested. MB-mode validated MNP-induced vibrations, while M-mode scans and spectral analysis determined resonance frequencies. Histology assessed tissue integrity post-MNP application.</p><p><strong>Results: </strong>Gelatin resonance frequencies increased with concentration, confirming sensitivity to mechanical variations. In corneas, MM-OCE detected significant differences between untreated and CXL-treated regions: resonance frequencies rose from 74.48 ± 6.23 Hz (untreated) to 83.42 ± 4.97 Hz (1-min UV), 110.92 ± 2.40 Hz (3-min UV), and 121.23 ± 3.02 Hz (6-min UV). Histology confirmed no MNP-induced tissue damage.</p><p><strong>Conclusion: </strong>MM-OCE effectively differentiates localized biomechanical changes in corneal tissue, demonstrating feasibility for quantifying stiffness variations induced by CXL.</p><p><strong>Significance: </strong>Although further improvements are needed for potential clinical applications, this study demonstrated that MM-OCE may offer a promising, non-invasive method for assessing local mechanical properties of a cornea, with the potential to enhance early diagnosis, treatment planning, and monitoring in ophthalmology.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143978092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Building and Sustaining Open-Source Medical Device Projects.","authors":"Alex Baldwin, Sahar Elyahoodayan, Pallavi Gunalan, Victor Pikov, Ellis Meng","doi":"10.1109/TBME.2025.3563102","DOIUrl":"https://doi.org/10.1109/TBME.2025.3563102","url":null,"abstract":"<p><p>The open-source development model has been successfully applied to consumer and enterprise software, and recently to consumer hardware. Medical devices may become a beneficiary of this trend, as open-source medical device development has the potential to reduce costs, democratize patient access, and provide continued support to abandoned devices from failed companies. Unlike the consumer device market, the medical device market is highly regulated and involves considerable manufacturer liability that may limit the use of open-source technology. This review of open-source medical device development explores the current state of development in research and clinical products and suggests best practices for creating sustainable and effective open-source medical devices.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143997812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of a Fast-Solving Rigid Body Spine Model Inclusive of Intra-Abdominal Pressure.","authors":"Siril Teja Dukkipati, Mark Driscoll","doi":"10.1109/TBME.2025.3561692","DOIUrl":"https://doi.org/10.1109/TBME.2025.3561692","url":null,"abstract":"<p><strong>Objective: </strong>Traditional spine biomechanical models often neglect the load-sharing effect of the intra-abdominal pressure (IAP) on the spine and can be computationally intensive. These limitations hinder their effectiveness in muscle recruitment simulations where iterative calculations are required. Thus, a need exists for validated fast-solving IAP-integrated musculoskeletal lumbar spine models, hence developed herein.</p><p><strong>Methods: </strong>A rigid-body model consisting of the pelvis, lumbar vertebrae, a lumped thoracic spine and the ribcage, derived from MRI scans of a healthy adult male, was devised. The intervertebral discs were modeled as 3 degrees-of-freedom (DOF) gimbal joints using nonlinear moment-rotation relationships. Spinal ligaments were modeled as nonlinear tension-only springs. Two methods of modeling IAP were discussed and implemented. Model#1 represented IAP as normal force vectors on the diaphragm and the spine, while model#2 idealized the abdominal wall compliance using spring-damper elements inside the cavity. Level-by-level spinal stiffness was validated under pure moment loading up to 7.5Nm in flexion-extension, lateral bending and axial rotation.</p><p><strong>Results: </strong>Model segmental stiffness profiles in all three bending modes were within one standard deviation of literature datasets. IAP model #1 revealed a linear increase in the spinal extensor torque about L3 with increase in IAP, consistent with literature, while model #2 suggested decreased spinal range of motion with increased abdominal cavity stiffness. The model consisted of 15 DOFs, compiled in 6sec and simulated in 1.4sec.</p><p><strong>Conclusion: </strong>This MATLAB native model could be a useful tool to quickly and intuitively visualize physiological spine loading.</p><p><strong>Significance: </strong>A novel fast-solving lumbar musculoskeletal model with IAP was presented in this research.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Cancer cell types by Electrical Impedance Spectroscopy Based on Principal Component Analysis Integrated with Equivalent Circuit Model (ECM-PCA).","authors":"Ruimin Zhou, Daisuke Kawashima, Martin Wekesa Sifuna, Songshi Li, Iori Kojima, Masahiro Takei","doi":"10.1109/TBME.2025.3561453","DOIUrl":"https://doi.org/10.1109/TBME.2025.3561453","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to enhance the identification of cancer cell types using electrical impedance spectroscopy (EIS) by introducing a novel analysis method, ECM-PCA, which integrates an equivalent circuit model with principal component analysis.</p><p><strong>Methods: </strong>The ECM-PCA method addresses the limitations of conventional PCA and kernel PCA (kPCA) in handling non-linear and frequency-dependent data. Impedance data of four cancer cell types (DLD-1, T.Tn, U138, and U87) were acquired across a frequency range of 0.1 MHz to 300 MHz. The ECM-PCA method was applied to analyze the frequency-dependent impedance behaviour and compare its clustering performance with PCA and kPCA.</p><p><strong>Results: </strong>ECM-PCA demonstrated clustering performance comparable to kPCA while capturing the frequency-dependent features of impedance spectra, which kPCA lacks. The phase angle component as the ECM-PCA input achieved the highest Calinski-Harabasz (CH) score of 935, and the method achieved an identification accuracy of 93.6% in the PC1 and PC2 plane.</p><p><strong>Conclusion: </strong>ECM-PCA improves the accuracy and interpretability of cancer cell type identification based on electrical impedance data.</p><p><strong>Significance: </strong>This study highlights the potential of ECM-PCA in advancing cancer diagnostics through enhanced analysis of impedance spectra.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143989975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SeptalPro: Development and Usability Evaluation of a Force-Sensing Robotic Transseptal Puncture System for Cardiac Interventions.","authors":"Aya Mutaz Zeidan, Zhouyang Xu, Christopher E Mower, Weizhao Wang, Lisa Leung, Calum Byrne, Christopher Aldo Rinaldi, John Whitaker, Steven E Williams, Jonathan Behar, Lukas Lindenroth, Yohan Noh, Aruna Arujuna, R James Housden, Kawal Rhode","doi":"10.1109/TBME.2025.3561111","DOIUrl":"https://doi.org/10.1109/TBME.2025.3561111","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to develop and evaluate the SeptalPro system, a novel robotic platform designed to enhance the precision, safety, and efficiency of transseptal puncture (TSP) procedures by integrating real-time remote control and force sensing.</p><p><strong>Methods: </strong>The SeptalPro system was assessed using an anthropomorphic phantom in a simulated clinical environment. Four experienced cardiologists and one cardiology trainee participated in the study, performing manual and robot-assisted TSP procedures. The system's performance was evaluated using trajectory and motion smoothness metrics, as well as user feedback on the system's usability in a clinical environment.</p><p><strong>Results: </strong>The robot-assisted approach demonstrated superior spatial control compared to the manual approach, with significantly shorter path lengths and reduced spatial dispersion for experienced operators. The SeptalPro system also achieved smoother and more efficient tool motions, as indicated by reduced mean motion jerk. User feedback indicated high satisfaction with the system's usability and potential clinical benefits.</p><p><strong>Conclusion: </strong>SeptalPro represents a significant advancement in TSP, offering a promising solution to the challenges associated with the conventional manual approach. The robotic system demonstrated superior performance in terms of spatial control and motion smoothness compared to the manual approach.</p><p><strong>Significance: </strong>This work establishes the first comprehensive framework for evaluating robotic TSP systems through integration of high-precision force sensing, clinically-validated performance metrics, and structured assessment protocols, providing essential foundations towards clinical translation of robotic assistance in TSP procedures.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143998286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}