Computer Methods in Biomechanics and Biomedical Engineering最新文献

{"title":"Analysis of shoulder motion kinematics based on a spatial linkage model and validation using Vicon motion capture.","authors":"Ruilin Hou, Xue Qin, Yindi Wang, Yinghao Fan, Yangwei Wang","doi":"10.1080/10255842.2026.2643453","DOIUrl":"https://doi.org/10.1080/10255842.2026.2643453","url":null,"abstract":"<p><p>As the central hub connecting the upper limb and torso, the shoulder has complex spatial kinematics driven by multi-joint coordination. To realize structured modeling and quantitative evaluation of natural shoulder motion, this study proposes a kinematic modeling approach based on an open-chain spatial hybrid linkage mechanism, validated by the Vicon motion capture system. A 7-degree-of-freedom spatial linkage model incorporating SC, AC, GH and ST joints is constructed, with defined degrees of freedom and coupling relationships. Static equilibrium models in three planes are established to assess joint torque distribution. Vicon-based 3D trajectory data of anatomical markers are analyzed for motion consistency, verifying the model's biomechanical plausibility and reconstruction accuracy, which lays a theoretical foundation for shoulder rehabilitation robots and intelligent exoskeletons.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-24"},"PeriodicalIF":1.6,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147516428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel software design, simulation and analysis tool for lower extremity prosthesis performance test platform.","authors":"Serdar Kucuk, Redwan Alqasemi, Umut Mayetin, Rajiv Dubey","doi":"10.1080/10255842.2026.2645164","DOIUrl":"https://doi.org/10.1080/10255842.2026.2645164","url":null,"abstract":"<p><p>This study presents a novel MATLAB-based interactive software tool for the design, simulation, and analysis of the Lower Extremity Prosthesis Performance Test Platform (LEPPETEP). The system integrates a 6-DOF Stewart platform, a foot fixation mechanism, and an adjustable prosthetic holder within a fixed cage. LEPPETEP enables researchers to interactively modify structural parameters-including limb lengths and robot geometry-to optimize their robotic testing environment. The tool successfully performs gait analysis, cyclic, and static loading tests for both above-knee and below-knee prostheses. The design principles are demonstrated through an above-knee prosthetic case study.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-37"},"PeriodicalIF":1.6,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147516465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biomechanical evaluation of load-bearing performance and primary stability in a novel transhumeral osseointegrated prosthesis: a finite element analysis.","authors":"Ismail Boudjemaa, Omar Khatir, Abdelkader Benkhettou, Abderahmene Sahli, Murat Yaylaci","doi":"10.1080/10255842.2026.2647113","DOIUrl":"https://doi.org/10.1080/10255842.2026.2647113","url":null,"abstract":"<p><p>After humeral amputation, patients often struggle to handle medium to heavy loads. Conventional hollow socket prostheses remain insufficient for such demands. This study proposes an innovative transhumeral osseointegrated prosthesis design, evaluated using a three-dimensional finite element model under five static loads (25-300 N) with Bio-steel and Ti-6Al-4V implants. Stresses in cancellous bone remained well below compressive strength limits (≤1.11 MPa), even at maximum loading. Implant displacements were minimal (<0.63 mm), indicating high primary stability. These results confirm the model's mechanical validity and support this prosthesis as a safe and effective load-bearing alternative for upper-limb amputees.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-12"},"PeriodicalIF":1.6,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147505476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-objective optimization of mechanical properties of braided stents based on an improved response surface model.","authors":"Rongye Zheng, Chen Zhang, Chengtao Zhu, Zhengjian Liao","doi":"10.1080/10255842.2026.2645168","DOIUrl":"https://doi.org/10.1080/10255842.2026.2645168","url":null,"abstract":"<p><p>Although braided stents are widely adopted for intracranial aneurysm treatment, current designs still struggle with simultaneously satisfying the conflicting demands of mechanical properties including radial pressure, bending moment and foreshortening. This study proposed a multi-objective optimization framework based on an improved response surface model (IRSM) for the personalized design of braided stents, to enhance their adaptability to specific lesions. The IRSM was constructed for the aforementioned mechanical properties and integrated with design of experiments to accurately characterize intrinsic relationships between design parameters and mechanical properties. Based on 45 training samples, the IRSM demonstrated high accuracy in modeling the intrinsic relationships between design parameters and mechanical properties. Assessed using leave-one-out cross-validation, it achieved a coefficient of determination <i>R</i>² > 0.9580 and a mean squared error <i>MSE</i> < 0.0410. Then, multi-objective optimization was implemented to obtain the Pareto-optimal solutions by the non-dominated sorting genetic algorithm II. Finite element simulations were performed separately for both the commercial stent pipeline and the selected Pareto-optimal solution. The comparative results revealed that this selected Pareto-optimal solution effectively increases radial pressure and reduces foreshortening, while inevitably leading to an increase in bending moment, thereby highlighting the importance of conducting coordinated trade-offs and optimizations of multiple objectives based on specific clinical scenarios in personalized stent design.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-12"},"PeriodicalIF":1.6,"publicationDate":"2026-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Subtype identification and risk model establishment to predict prognosis and drug therapy response in colon cancer based on efferocytosis-related genes.","authors":"Xiayan Sun, Fei Chen","doi":"10.1080/10255842.2026.2645174","DOIUrl":"https://doi.org/10.1080/10255842.2026.2645174","url":null,"abstract":"<p><p>Efferocytosis can promote tumor immune evasion. This study identified three molecular subtypes and constructed a six-gene prognostic model for colon cancer based on efferocytosis-related genes and data from The Cancer Genome Atlas (TCGA). Patients in the high-risk group defined by this model showed higher levels of immunosuppressive cell infiltration and increased mutation rates, exhibiting poorer responses to immunotherapy. The model gene LHX3 was highly expressed in colon cancer, promoting malignant cellular phenotypes and influencing efferocytosis. Overall, the efferocytosis-based risk model constructed in this study may provide insights for prognostic evaluation and therapeutic strategies in colon cancer.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-21"},"PeriodicalIF":1.6,"publicationDate":"2026-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147494529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncovering the therapeutic mechanism of Baicalein in diabetic retinopathy through ferroptosis regulation.","authors":"Chengzhi Liu, Yuanchao Fu, Shengnan Xu, Xinyu Wang, Xusheng Cao","doi":"10.1080/10255842.2026.2646309","DOIUrl":"https://doi.org/10.1080/10255842.2026.2646309","url":null,"abstract":"<p><p><b>Background:</b> Diabetic retinopathy (DR) is a leading cause of vision loss in working-age adults. Ferroptosis, an iron-dependent form of programmed cell death, contributes to DR pathogenesis. Baicalein, a natural flavonoid, exhibits antioxidant and anti-inflammatory effects and is a potential ferroptosis inhibitor. <b>Methods:</b> We applied a network pharmacology approach to explore Baicalein's therapeutic potential in DR. Differentially expressed genes (DEGs) were identified from GSE102485, and ferroptosis-related genes (FRGs) were obtained from FerrDb. Baicalein-related targets were retrieved from TCMSP and PharmMapper. Protein-protein interaction (PPI) networks were constructed using STRING and Cytoscape. GO and KEGG pathway enrichment analyses were performed. Single-cell RNA sequencing (scRNA-seq) data from GSE178121 were analyzed to determine core target expression across retinal cell types. Molecular docking and molecular dynamics simulations assessed Baicalein's binding affinity and stability with key targets. <b>Results:</b> A total of 4,279 DEGs and 120 ferroptosis-related DEGs were identified, with 21 overlapping targets among DR, ferroptosis, and Baicalein; eleven core targets were selected based on network topology. Enrichment analysis revealed involvement in critical DR-related pathways, including HIF-1A, TNF, PI3K-Akt, and MAPK signaling. scRNA-seq highlighted broad <i>HIF1A</i> expression across retinal cells, particularly in bipolar cells and rods. Molecular docking showed favorable binding with PPARG and ALB, and dynamics simulations indicated stable interactions, suggesting Baicalein can effectively modulate ferroptosis pathways. <b>Conclusions:</b> Integrating network pharmacology and single-cell transcriptomics, this study identifies Baicalein as a promising candidate for DR therapy by targeting ferroptosis. These findings support further preclinical and clinical investigation to protect diverse retinal cell populations from ferroptotic damage.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-17"},"PeriodicalIF":1.6,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147482330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting dental implant failure using machine learning: comparative evaluation of Random Forest, gradient boosting, and logistic regression with feature importance analysis.","authors":"Marija S Milic, Vladimir S Todorovic, Milan Vucetic, Natasa Milosavljevic","doi":"10.1080/10255842.2026.2645167","DOIUrl":"https://doi.org/10.1080/10255842.2026.2645167","url":null,"abstract":"<p><p>Dental implant failure is influenced by anatomical, systemic, and procedural factors. This study assessed the predictive value of machine learning models: logistic regression, Random Forest, and gradient boosting, using an open-access dataset (Liu et al. 2018) containing demographic, surgical, prosthetic, and systemic variables. Random Forest performed best (accuracy 0.85, ROC-AUC 0.79, F1 = 0.92, recall 0.97), followed by gradient boosting, while logistic regression showed lower sensitivity. Feature importance analysis identified implant location, sinus augmentation, implant dimensions, and patient age as key predictors. Ensemble models and interpretable feature metrics demonstrate strong potential for improving clinical risk stratification in implant dentistry.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147476146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A method for simulating the growth of cells on a general surface using the finite element method.","authors":"Paul J Harris","doi":"10.1080/10255842.2026.2638881","DOIUrl":"https://doi.org/10.1080/10255842.2026.2638881","url":null,"abstract":"<p><p>The growth of cells on a surface coated with a nutrient is a technique widely used for tissue regeneration. A system of reaction-diffusion equations is used to model the densities of both the cells and the nutrient. This paper presents a finite element method for solving the equations on a general surface which is approximated by a set of flat triangular elements. A change of variables is used to convert the diffusion equations expressed in local coordinates on each element into the equivalent equation expressed in terms of the global coordinates. The methods are illustrated with some typical examples.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-12"},"PeriodicalIF":1.6,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147464088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MuLeCoG: multi-level contrastive graph network for cancer subtype classification.","authors":"Yuchun Yang, Songyang Wu, Bo Peng","doi":"10.1080/10255842.2026.2642810","DOIUrl":"https://doi.org/10.1080/10255842.2026.2642810","url":null,"abstract":"<p><p>Accurate cancer subtype classification is critical for personalized treatment, yet integrating multi-omics data remains challenging. We present a novel method that constructs multi-level cross-omics graphs and uses GraphSAGE with hierarchical contrastive learning to extract discriminative features for SVM-based classification. Tests on TCGA BRCA and GBM datasets show superior accuracy and reduced computational cost over state-of-the-art methods, enhancing clinical applicability.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-15"},"PeriodicalIF":1.6,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147445609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Skewness based discreate wavelet Transform and Swarm decomposition for the automatic elimination of ocular artifacts from EEG signals.","authors":"Sayedu Khasim Noorbasha, A Arunkumar Gudivada, Raveendra P, Murali Krishna Y, E Aravindraj","doi":"10.1080/10255842.2026.2636254","DOIUrl":"https://doi.org/10.1080/10255842.2026.2636254","url":null,"abstract":"<p><p>EEG signal reliability in biomedical applications may be affected by ocular artifacts resulting from blinks and eye movements. Existing methods often struggle to remove these artifacts effectively. In order to overcome this constraint, we suggest a new framework that integrating Skewness-based Discrete Wavelet Transform (SDWT) with the Swarm Decomposition (SwD) algorithm. The SDWT separates EEG signals into artifact and non-artifact segments. The artifact segment undergoes SwD processing, which decomposes it into hidden components. The EOG (electrooculographic) component is then analyzed using energy and skewness metrics. The level corresponding to the artifact identified by its highest energy and skewness is discarded, and the remaining elements are recombined with the non-artifact segment. To automate EOG identification, the K-means clustering algorithm is employed. We evaluate the filtering performance of the proposed method using metric: Mean absolute error in the power spectrum (MAE-PS), in power spectrum analysis across the delta(<math><mrow><mi>δ</mi></mrow></math>), theta (<math><mrow><mi>θ</mi></mrow></math>), alpha (<math><mrow><mi>α</mi></mrow></math>), and beta (<math><mrow><mi>β</mi></mrow></math>) frequency bands. Testing was conducted on two semi-simulated and one real-time datasets: Publicly available EEG signals contaminated by eye-movement and eye-blink artifact. Wearable EEG recordings from epileptic and healthy persons performing physical activities (climbing stairs, sitting, running, and walking). Results demonstrate that our method outperforms existing techniques, achieving: Lower MAE-PS in power spectrum analysis across <math><mrow><mi>α</mi></mrow><mtext>,</mtext></math><math><mrow><mi>β</mi></mrow><mtext>,</mtext></math> and <math><mrow><mi>θ</mi></mrow></math> bands, indicating better signal preservation. This approach shows promise for enhancing EEG reliability in both clinical and mobile settings.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-14"},"PeriodicalIF":1.6,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147349715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}