Computer Methods in Biomechanics and Biomedical Engineering最新文献_第9页

Interpretable machine learning for gallstone risk prediction: an ensemble stacking approach with SHAP analysis. 用于胆结石风险预测的可解释机器学习：基于SHAP分析的集成叠加方法。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-07 DOI: 10.1080/10255842.2026.2714840

Selahaddin Batuhan Akben, Hilal Yumrutaş

引用次数: 0

HVisc-MSM skeletal muscle mechanics model for virtual surgery. 虚拟手术的HVisc-MSM骨骼肌力学模型。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-03 DOI: 10.1080/10255842.2026.2708912

Pengcheng Li, Jiaheng Li, Monan Wang, Jiaqi Cao, Zijian Wang

引用次数: 0

Motor imagery EEG microstates are influenced by alpha power. 运动想象的脑电图微观状态受阿尔法功率的影响。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-01 Epub Date: 2025-03-24 DOI: 10.1080/10255842.2025.2476185

Xin Xiong, Xiaoyu Ji, Sanli Yi, Chunwu Wang, Ruixiang Liu, Jianfeng He

{"title":"Motor imagery EEG microstates are influenced by alpha power.","authors":"Xin Xiong, Xiaoyu Ji, Sanli Yi, Chunwu Wang, Ruixiang Liu, Jianfeng He","doi":"10.1080/10255842.2025.2476185","DOIUrl":"10.1080/10255842.2025.2476185","url":null,"abstract":"Electroencephalogram (EEG) microstates are pivotal in understanding brain dynamics, reflecting transitions between global states. These parameters undergo selective inhibition within cortical areas, modulated by alpha oscillations. This study investigates how alpha band power influences microstate parameters across various task conditions, including resting state, actual motor execution, and imagined motor tasks. By comparing these three conditions, we aim to elucidate the distinct effects of alpha power on microstate dynamics, as each condition represents a unique pattern of brain activity. Motor imagery (MI) induces event-related desynchronization/synchronization, modulating Mu (alpha) and Beta rhythms in sensorimotor areas. However, the relationship between MI-EEG microstates and alpha power remains unclear. Our results show that alpha power was highest in resting state, followed by imagined motion, and lowest during actual motion. As alpha power increased, microstate A parameters in resting state (occurrence, coverage) decreased, while those in actual motion increased. Additionally, microstate B parameters rose with alpha power in resting state but decreased during imagined motion. Notably, alpha power correlated more strongly with microstate parameters in task states than in resting state. In addition, alpha, theta, and beta powers during task performance were negatively correlated with the duration of microstates A, B, and C, while being positively correlated with the occurrence of microstates A, B, C, and D. These findings suggest that alpha power influences microstate parameters differently depending on the brain, underscoring the significance of inter-band interactions in shaping microstate dynamics.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"2271-2286"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143694023","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

Modelling receptor-mediated endocytosis in hollow microneedle-based verapamil delivery through viscoelastic skin. 模拟基于空心微针的维拉帕米通过粘弹性皮肤递送的受体介导的内吞作用。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-01 Epub Date: 2025-03-20 DOI: 10.1080/10255842.2025.2477223

Tanmoy Bhuimali, Sarifuddin, Prashanta Kumar Mandal

{"title":"Modelling receptor-mediated endocytosis in hollow microneedle-based verapamil delivery through viscoelastic skin.","authors":"Tanmoy Bhuimali, Sarifuddin, Prashanta Kumar Mandal","doi":"10.1080/10255842.2025.2477223","DOIUrl":"10.1080/10255842.2025.2477223","url":null,"abstract":"Drug delivered from the microneedle (MN) tip diffuses across the viscoelastic skin before entering the blood compartment and being absorbed. Reversible uptake kinetics between the blood and tissue compartments, reversible specific saturable binding with its receptors, and endocytosis are given due attention. Simulations predict that, unlike skin thinning, skin viscoelasticity and a higher Young's modulus value, as in an older person, inhibit verapamil diffusion within the skin, and metabolism stabilises the concentrations in the blood and tissue compartments. Simultaneously, the irreversible uptake kinetics improve drug concentrations in the tissue compartment, facilitating receptor-mediated endocytosis. The results also predict that internalised verapamil increases with time at slower internalisation rates; however, at higher rates, it attains a peak value before gradually diminishing. Furthermore, as the rate of lysosomal degradation escalates, the peak value of internalised concentration diminishes and shifts upward. A comprehensive sensitivity analysis has been performed because of uncertainty about several crucial parameters. Our findings align well with the existing literature.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"2378-2396"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665139","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

lncRNA-disease association prediction based on optimizing measures of multi-graph regularized matrix factorization. 基于多图正则矩阵分解优化测度的lncrna -疾病关联预测。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-01 Epub Date: 2025-03-20 DOI: 10.1080/10255842.2025.2479854

Bin Yao, Yunzhong Song

引用次数: 0

EEG-based multi-band functional connectivity using corrected amplitude envelope correlation for identifying unfavorable driving states. 基于脑电图的多波段功能连接，使用校正振幅包络相关来识别不利的驾驶状态。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-01 Epub Date: 2025-04-09 DOI: 10.1080/10255842.2025.2488502

Jichi Chen, Yujie Wang, Yuguo Cui, Hong Wang, Kemal Polat, Fayadh Alenezi

{"title":"EEG-based multi-band functional connectivity using corrected amplitude envelope correlation for identifying unfavorable driving states.","authors":"Jichi Chen, Yujie Wang, Yuguo Cui, Hong Wang, Kemal Polat, Fayadh Alenezi","doi":"10.1080/10255842.2025.2488502","DOIUrl":"10.1080/10255842.2025.2488502","url":null,"abstract":"Recognition of unfavorable driving state (UDS) based on Electroencephalography (EEG) signals and functional connectivity has a significant contribution to reducing casualties. However, when the functional connectivity approach directly applies to recognize drivers' UDS, it may encounter great challenges, because of spurious synchronization phenomenon. We introduce a novel functional connectivity matrix construction approach combined with the ensemble algorithm to identify drivers' UDS in the research. First, EEG data from a previously designed simulated driving experiment containing two driving tasks are extracted, and then functional connectivity matrix construction approach based on amplitude envelope correlation with leakage correction (AEC-c) in multiple frequency bands are calculated. Furthermore, the random subspace is utilized to improve the performances of the k-nearest neighbors (KNN) algorithm. Classification performances of the proposed approach are assessed by confusion matrix, accuracy (ACC), sensitivity (SEN), specificity (SPF), precision (PRE) and receiver operating characteristic (ROC) curve with 5-fold cross-validation strategy. The statistical analysis shows that the regional AEC-c values of 30 EEG channels for the driver's UDS are overall significantly lower than those for the driver's non-unfavorable driving state (NUDS) in the beta, gamma and all frequency bands. Further analysis about performance results shows that the proposed AEC-c-based functional connection matrix analysis approach in all frequency bands combined with the random subspace ensembles KNN achieves a highest ACC of 96.88%. The results suggests that our proposed framework is beneficial for EEG-based driver's UDS recognition, which is helpful to the transmission and interaction of information in man-machine system.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"2722-2734"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144046451","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

Finite element analysis of various fixation patterns in mandible bone fracture. 下颌骨骨折各种固定方式的有限元分析。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-01 Epub Date: 2025-03-13 DOI: 10.1080/10255842.2025.2476187

Tayebeh Tazh, Siamak Khorramymehr, Kamran Hassani, Mohammad Nikkhoo

{"title":"Finite element analysis of various fixation patterns in mandible bone fracture.","authors":"Tayebeh Tazh, Siamak Khorramymehr, Kamran Hassani, Mohammad Nikkhoo","doi":"10.1080/10255842.2025.2476187","DOIUrl":"10.1080/10255842.2025.2476187","url":null,"abstract":"Mandibular fractures are among the most serious injuries to the maxillofacial region, with controversy surrounding their diagnosis, classification, and management Fixation mini-plate systems are commonly used for treatment of mandibular fractures. Previous studies have examined plate configurations with various locking systems. However, the impact of plate thickness on the performance of unlocking screw mechanisms has not been investigated in the literature. Also, there exist conflicting findings concerning the impact of the locking and unlocking screw mechanisms on the concentration of stress within the screws. This study investigates the effect of plate thickness and plate-screw locking mechanisms on the performance of the fixation system using the finite element analysis. The complex relation between jawbone thickness and occurred cracks or fractions made us build a precised model for investigating the fixation patterns. Results showed that the locking screw mechanism reduced the von Miss stress in the buccal and lingual regions of the bone. Increasing the plate thickness also decreased the von Miss stress and maximum pressure in the bone. The unlocking screws application resulted in lower values of stress and displacement in the plate and screws compared to the locking screws. Moreover, while using a plate with a higher thickness resulted in a pronounced decrease in plate von Mises stress, it led to a higher stress on the screws. The study investigated crack propagation by analyzing bone density, which was directly related to age and an individual's lifestyle. This method enables a more precise use of the viscoelastic characteristics of mandibular bones tailored to everyone. The outcomes of this study indicated that the locking screw mechanism demonstrated enhanced features in light of the reduced stress on the bone. Nevertheless, the screws and plate experienced an elevated stress level using this mechanism.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"2303-2318"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143626749","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

Plate materials for cardiopulmonary protection: a computational modeling study. 用于心肺保护的钢板材料：一项计算模型研究。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-01 Epub Date: 2025-03-17 DOI: 10.1080/10255842.2025.2476192

Maayan Lustig, Yoram Epstein, Amit Gefen

{"title":"Plate materials for cardiopulmonary protection: a computational modeling study.","authors":"Maayan Lustig, Yoram Epstein, Amit Gefen","doi":"10.1080/10255842.2025.2476192","DOIUrl":"10.1080/10255842.2025.2476192","url":null,"abstract":"Personal body armor, such as ballistic protective plates (BPPs), plays a vital role in protecting the torso against high-energy impacts, yet Behind Armor Blunt Trauma (BABT) remains a concern. BABT can inflict damage on critical organs, particularly the heart and lungs. This study investigates the protective performance of BPP materials and padding configurations. We employed a finite element (FE) model of the torso, incorporating detailed anatomical features, to simulate non-penetrating impacts on the heart and lungs. Three BPP materials - Kevlar-29, Ultra-High-Molecular-Weight Polyethylene (UHMWPE), and Alumina, were analyzed with and without 6 mm and 12 mm padding layers against a 5.56 mm bullet impact at 500 m/s. The results demonstrated that Alumina plates provided superior protection, resulting in 186% lower peak strain and 229% lower peak stress in the heart compared to Kevlar and UHMWPE. The addition of padding further reduced strains and stresses, with 12 mm padding yielding average reductions of 44% in peak strain and 36% in peak stress in the heart. Similarly, in the lungs, 12 mm padding led to reductions of 38% in peak strain and 34% in peak stress. The model was validated against experimental force measurements using a life-sized torso phantom, demonstrating strong agreement with piezoelectric sensor measurements (less than 4% difference). These findings underscore the importance of selecting appropriate BPP materials and padding thickness to minimize biomechanical impacts on vital organs.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"2319-2341"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143651689","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

EEG-based emotion recognition with autoencoder feature fusion and MSC-TimesNet model. 基于自编码器特征融合和MSC-TimesNet模型的脑电图情感识别。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-01 Epub Date: 2025-03-17 DOI: 10.1080/10255842.2025.2477801

Jibin Yin, Zhijian Qiao, Luyao Han, Xiangliang Zhang

{"title":"EEG-based emotion recognition with autoencoder feature fusion and MSC-TimesNet model.","authors":"Jibin Yin, Zhijian Qiao, Luyao Han, Xiangliang Zhang","doi":"10.1080/10255842.2025.2477801","DOIUrl":"10.1080/10255842.2025.2477801","url":null,"abstract":"Electroencephalography (EEG) signals are widely employed due to their spontaneity and robustness against artifacts in emotion recognition. However, existing methods are often unable to fully integrate high-dimensional features and capture changing patterns in time series when processing EEG signals, which results in limited classification performance. This paper proposes an emotion recognition method (AEF-DL) based on autoencoder fusion features and MSC-TimesNet models. Firstly, we segment the EEG signal in five frequency bands into time windows of 0.5 s, extract power spectral density (PSD) features and differential entropy (DE) features, and implement feature fusion using the autoencoder to enhance feature representation. Based on the TimesNet model and incorporating the multi-scale convolutional kernels, this paper proposes an innovative deep learning model (MSC-TimesNet) for processing fused features. MSC-TimesNet efficiently extracts inter-period and intra-period information. To validate the performance of the proposed method, we conducted systematic experiments on the public datasets DEAP and Dreamer. In dependent experiments with subjects, the classification accuracies reached 98.97% and 95.71%, respectively; in independent experiments with subjects, the accuracies reached 97.23% and 92.95%, respectively. These results demonstrate that the proposed method exhibits significant advantages over existing methods, highlighting its effectiveness and broad applicability in emotion recognition tasks.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"2397-2414"},"PeriodicalIF":1.9,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143651644","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

Advancing cancer care: unravelling genomic insights for precision medicine using meticulous predictive architecture. 推进癌症护理：利用细致的预测架构揭示精准医学的基因组见解。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-08-01 Epub Date: 2025-03-31 DOI: 10.1080/10255842.2025.2477809

Swati B Bhonde, Sharmila K Wagh, Jayashree R Prasad

引用次数: 0