Computer Methods in Biomechanics and Biomedical Engineering最新文献_第4页

Knee joint biomechanics during lunges at different tibial angles and external loads: a musculoskeletal analysis with finite element insights. 膝关节生物力学在不同的胫骨角度和外部负荷下的弓步：具有有限元见解的肌肉骨骼分析。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-23 DOI: 10.1080/10255842.2026.2737738

Lidong Gao, Shunxiang Gao, Zhenghui Lu, Gusztáv Fekete, Zixiang Gao

引用次数: 0

RTSANet: learning sequential-attentive hybrid networks for drug information-enhanced medication recommendation. RTSANet：用于药物信息增强的药物推荐的学习顺序关注混合网络。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-23 DOI: 10.1080/10255842.2026.2729440

Yuanyuan Zhang, Zhennuo Wang, Shuang Du, Wenying Li, Shaoqiang Wang

引用次数: 0

Operator learning for hemodynamics on variable domains: 2D stenosis and bifurcation. 可变域上血流动力学的算子学习：二维狭窄和分叉。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-22 DOI: 10.1080/10255842.2026.2736251

Wojciech Kaczmarek, Maksymilian Michalik, Tomasz Roleder

引用次数: 0

Comparative evaluation of spline-based and Laplace-based interpolation for joint torque field reconstruction: a simulation study. 基于样条和拉普拉斯插值的关节转矩场重建的比较评价：仿真研究。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-16 DOI: 10.1080/10255842.2026.2729437

Kotaro Takeda

{"title":"Comparative evaluation of spline-based and Laplace-based interpolation for joint torque field reconstruction: a simulation study.","authors":"Kotaro Takeda","doi":"10.1080/10255842.2026.2729437","DOIUrl":"10.1080/10255842.2026.2729437","url":null,"abstract":"Accurate interpolation of joint torque fields across joint angle combinations is essential in experimental and clinical biomechanics. Although thin-plate spline (TPS) interpolation is widely used, its exact interpolation property renders it sensitive to outliers. The present study compared TPS, thin-plate smoothing spline (TPSS) with two smoothing levels, and discrete Laplace interpolation under controlled simulation conditions. Two ground truth surfaces were defined: a physiologically motivated single-peak surface representing plantarflexion torque as a function of ankle and knee angles and a two-peak surface representing a more complex spatial structure. Noisy measurement conditions were simulated by sampling each surface on a jittered 5 × 5 grid, adding proportional Gaussian noise (5% or 10%), and introducing outliers (0-5 points, ±10% or ±20%) or missing data (0-5 points). Each condition was simulated 1000 times, and reconstruction accuracy was quantified by root mean square error (RMSE) and absolute deviation from the median, with method comparisons performed using Wilcoxon signed-rank tests. For the single-peak surface, TPSS with greater smoothing consistently yielded the lowest RMSE across outlier conditions, whereas TPS was most adversely affected by outliers. For the two-peak surface, TPS outperformed other methods, and Laplace interpolation consistently produced the largest RMSE. Under missing-data conditions, spline-based methods showed comparable or superior accuracy to Laplace interpolation, despite its theoretical suitability for handling missing data. These findings empirically demonstrate condition-dependent differences in interpolation accuracy across methods and suggest that method selection should be guided by prior knowledge or preliminary assessment of the spatial complexity of the target torque field.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-10"},"PeriodicalIF":1.9,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148978666","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}

引用次数: 0

Correction. 修正。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-11 DOI: 10.1080/10255842.2026.2732388

引用次数: 0

Evaluation of sparse inertial sensor configurations for tennis stroke classification: balancing performance and wearability. 稀疏惯性传感器配置对网球击球分类的评价：平衡性能和耐磨性。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-10 DOI: 10.1080/10255842.2026.2729439

Yiran Ren, Chenjia Zhang, Yike Shi, Yuting Liu, Jingquan Liang, Yuxuan Liu, Yuan Tian, Weihuang Liu, Qianqian Dong, Zefeng Yan, Lingfeng Chen, Qianqian Zhang

{"title":"Evaluation of sparse inertial sensor configurations for tennis stroke classification: balancing performance and wearability.","authors":"Yiran Ren, Chenjia Zhang, Yike Shi, Yuting Liu, Jingquan Liang, Yuxuan Liu, Yuan Tian, Weihuang Liu, Qianqian Dong, Zefeng Yan, Lingfeng Chen, Qianqian Zhang","doi":"10.1080/10255842.2026.2729439","DOIUrl":"https://doi.org/10.1080/10255842.2026.2729439","url":null,"abstract":"Accurate classification of stroke movements is important for performance evaluation in rotational racket sports such as tennis. This study compared the classification performance of six lower-body sensor configurations to assess the feasibility of sparse inertial measurement units (IMUs) setups for tennis stroke classification. Twelve players performed five stroke types, while five IMUs recorded tri-axial acceleration from the pelvis, thighs, and shanks. A one-dimensional convolutional neural network (1D-CNN) with data augmentation was evaluated using subject-level 4-fold cross-validation. The configuration using two sensors on the pelvis and right shank achieved up to 88.17% ± 3.69% accuracy, close to that of the full five-sensor configuration. These findings suggest that, among the six predefined configurations evaluated, sparse IMU configurations with augmentation may provide a practical balance between classification performance and wearability for tennis stroke classification.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-12"},"PeriodicalIF":1.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148921738","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}

引用次数: 0

UCResponNet-X: cross-platform multi-dataset gene expression for predictive modeling of drug response in ulcerative colitis. UCResponNet-X：用于溃疡性结肠炎药物反应预测建模的跨平台多数据集基因表达。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-10 DOI: 10.1080/10255842.2026.2729438

Mehmet Kutalmış Topkaraoğlu, İsmail Cantürk

{"title":"UCResponNet-X: cross-platform multi-dataset gene expression for predictive modeling of drug response in ulcerative colitis.","authors":"Mehmet Kutalmış Topkaraoğlu, İsmail Cantürk","doi":"10.1080/10255842.2026.2729438","DOIUrl":"https://doi.org/10.1080/10255842.2026.2729438","url":null,"abstract":"Predictive modeling of biologic drug response using transcriptomic data is challenged by strong platform-specific effects between microarray and RNA-sequencing technologies. In this study, we propose UCResponNet-X, a computational framework designed to evaluate and improve cross-platform generalizability of machine-learning models for predicting infliximab response in ulcerative colitis. The framework integrates three independent microarray cohorts for training and validation and assesses model transferability on an external RNA-seq dataset. We systematically compare log2 transformation, quantile normalization, and z-score standardization in combination with batch-effect correction and biologically informed feature selection. Multiple classification algorithms are evaluated under a unified cross-validation protocol. Our results demonstrate that z-score and log2 normalization substantially outperform quantile normalization in preserving predictive signal across platforms, achieving mean cross-validation AUC values up to 0.824 and an external RNA-seq test AUC of 0.821. The findings highlight the normalization strategy as a decisive computational factor in cross-platform transcriptomic modeling and support the reuse of legacy microarray data for predictive biomedical engineering applications.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-17"},"PeriodicalIF":1.9,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148921841","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}

引用次数: 0

Identification of molecular subtypes and prognostic models for head and neck squamous cell carcinomas based on PFKFB4. 基于PFKFB4的头颈部鳞状细胞癌分子亚型鉴定及预后模型

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-10 DOI: 10.1080/10255842.2026.2729441

Linlin Ying, Shuxia Zhou, Xiaojing Ma, Xueping Xiang

引用次数: 0

Identifying therapeutic target genes for acute pancreatitis based on the druggable genes. 基于可用药基因鉴定急性胰腺炎治疗靶基因。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-09-07 DOI: 10.1080/10255842.2026.2723090

Kejun Cao, Qiang Cheng, Jun Zhu, Bing Wang

引用次数: 0

Sensitivity of spinal load estimates to vertebral landmark error in biplanar radiograph-based musculoskeletal models. 基于双平面x线片的肌肉骨骼模型中脊柱负荷估计对椎体地标误差的敏感性。