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Biomechanical evaluation of head and neck injuries during head-first falls in skiing. 滑雪运动中头颈部损伤的生物力学评价。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-12-02 DOI: 10.1080/10255842.2024.2427115
Kai Zhang, Di Wang
{"title":"Biomechanical evaluation of head and neck injuries during head-first falls in skiing.","authors":"Kai Zhang, Di Wang","doi":"10.1080/10255842.2024.2427115","DOIUrl":"10.1080/10255842.2024.2427115","url":null,"abstract":"<p><p>Skiing accidents may lead to severe head and neck injuries. This study uses the THUMS model to evaluate the initial conditions and related injury mechanisms of head impacts with the snow surface during skiing falls. Initial speed was found to be the main factor affecting head injury criterion (HIC). Impact position is the key factor affecting cervical curvature. Rear impacts cause excessive cervical spine extension, while frontal impacts cause excessive cervical spine flexion. Rear impacts are more likely to cause neck injuries. As the angle and speed increase, the degree of cervical spine injury also increases.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1130-1144"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142774409","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
Effects of a soft back exoskeleton on lower lumbar spine loads during manual materials handling: a musculoskeletal modelling study. 软背外骨骼对人工搬运物料过程中腰椎下部负荷的影响：肌肉骨骼模型研究。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-11-04 DOI: 10.1080/10255842.2024.2422925
Arthur Favennec, Florent Moissenet, Julien Frère, Guillaume Mornieux
{"title":"Effects of a soft back exoskeleton on lower lumbar spine loads during manual materials handling: a musculoskeletal modelling study.","authors":"Arthur Favennec, Florent Moissenet, Julien Frère, Guillaume Mornieux","doi":"10.1080/10255842.2024.2422925","DOIUrl":"10.1080/10255842.2024.2422925","url":null,"abstract":"<p><p>The aim of this study was to append a passive soft back exoskeleton to a validated musculoskeletal model and assess its effectiveness in reducing lumbar loads. Fifteen participants lifted a box, with and without wearing a CORFOR<sup>®</sup> exoskeleton. A full body OpenSim model was used to estimate lumbar joint moments and reaction forces, as well as low back muscles forces. Wearing the exoskeleton reduced the peak flexion moment, muscles forces, as well as peak compressive and shear forces. This musculoskeletal modelling study shows that wearing the exoskeleton may reduce lumbar spine loads and may contribute to prevent low back disorders.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"967-975"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570342","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
Establishment and validation of predictive model of prostate cancer. 前列腺癌预测模型的建立和验证。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-11-20 DOI: 10.1080/10255842.2024.2427118
Chen Zhang, Wentao Hu, Dengke Li, Huarui Tang, Lulu Zhang, Fu Su, Jianping Tao, Lunjie Zhao, Yukui Gao, Qingshui Cheng
{"title":"Establishment and validation of predictive model of prostate cancer.","authors":"Chen Zhang, Wentao Hu, Dengke Li, Huarui Tang, Lulu Zhang, Fu Su, Jianping Tao, Lunjie Zhao, Yukui Gao, Qingshui Cheng","doi":"10.1080/10255842.2024.2427118","DOIUrl":"10.1080/10255842.2024.2427118","url":null,"abstract":"<p><p>Prostate cancer is a prevalent malignant disease among middle-aged and elderly men. Its prevention and detection are significant public health issues. We aimed to construct an interpretable model for predicting death risk in prostate cancer patients. We performed model development using the Cancer Genome Atlas and the Genotype-Tissue Expression databases. In comparison among models, the SVM model has the highest prediction performance among the eight models. The SHAP method, sorted by importance, reveals the top eight predictors of prostate cancer disease. This effective computer-aided approach can facilitate frontline clinicians in the diagnosis and management of patients with prostate cancer.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1170-1180"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683115","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
A comparison of head impact characteristics during elite men's Rugby Union fifteens and sevens match play. 男子橄榄球联盟十五人制和七人制精英比赛中头部撞击特征的比较。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-11-14 DOI: 10.1080/10255842.2024.2422928
Bianca Paiement, Clara Karton, Michael D Gilchrist, T Blaine Hoshizaki
{"title":"A comparison of head impact characteristics during elite men's Rugby Union fifteens and sevens match play.","authors":"Bianca Paiement, Clara Karton, Michael D Gilchrist, T Blaine Hoshizaki","doi":"10.1080/10255842.2024.2422928","DOIUrl":"10.1080/10255842.2024.2422928","url":null,"abstract":"<p><p>Different forms of rugby may pose distinct risks to head injury. Video of rugby match footage was analyzed using head impact magnitude, frequency, and time interval for 15s and 7s athletes. Impacts were reconstructed in laboratory, and finite element modeling was used to estimate maximum principal strain. No difference was found in impact frequency or time interval between the two forms. Significantly more head impacts of higher severity levels were documented during 7s. These findings provide objective comparisons between 7s and 15s which may guide risk mitigation strategies in managing brain trauma for specific forms of rugby.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"976-986"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631524","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
Accurate detection of gait events using neural networks and IMU data mimicking real-world smartphone usage. 利用神经网络和模仿真实世界智能手机使用情况的 IMU 数据准确检测步态事件。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-11-07 DOI: 10.1080/10255842.2024.2423252
Aske G Larsen, Line Ø Sadolin, Trine R Thomsen, Anderson S Oliveira
{"title":"Accurate detection of gait events using neural networks and IMU data mimicking real-world smartphone usage.","authors":"Aske G Larsen, Line Ø Sadolin, Trine R Thomsen, Anderson S Oliveira","doi":"10.1080/10255842.2024.2423252","DOIUrl":"10.1080/10255842.2024.2423252","url":null,"abstract":"<p><p>Wearable technologies such as inertial measurement units (IMUs) can be used to evaluate human gait and improve mobility, but sensor fixation is still a limitation that needs to be addressed. Therefore, aim of this study was to create a machine learning algorithm to predict gait events using a single IMU mimicking the carrying of a smartphone. Fifty-two healthy adults (35 males/17 females) walked on a treadmill at various speeds while carrying a surrogate smartphone in the right hand, front right trouser pocket, and right jacket pocket. Ground-truth gait events (e.g. heel strikes and toe-offs) were determined bilaterally using a gold standard optical motion capture system. The tri-dimensional accelerometer and gyroscope data were segmented in 20-ms windows, which were labelled as containing or not the gait events. A long-short term memory neural network (LSTM-NN) was used to classify the 20-ms windows as containing the heel strike or toe-off for the right or left legs, using 80% of the data for training and 20% of the data for testing. The results demonstrated an overall accuracy of 92% across all phone positions and walking speeds, with a slightly higher accuracy for the right-side predictions (∼94%) when compared to the left side (∼91%). Moreover, we found a median time error <3% of the gait cycle duration across all speeds and positions (∼77 ms). Our results represent a promising first step towards using smartphones for remote gait analysis without requiring IMU fixation, but further research is needed to enhance generalizability and explore real-world deployment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"987-997"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592011","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
A biomechanical model for cell sensing and migration. 细胞感应和迁移的生物力学模型
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-11-13 DOI: 10.1080/10255842.2024.2427112
Arnaud Chauvière, Ian Manifacier, Claude Verdier, Grégory Chagnon, Ibrahim Cheddadi, Nicolas Glade, Angélique Stéphanou
{"title":"A biomechanical model for cell sensing and migration.","authors":"Arnaud Chauvière, Ian Manifacier, Claude Verdier, Grégory Chagnon, Ibrahim Cheddadi, Nicolas Glade, Angélique Stéphanou","doi":"10.1080/10255842.2024.2427112","DOIUrl":"10.1080/10255842.2024.2427112","url":null,"abstract":"<p><p>We developed an original computational model for cell deformation and migration capable of accounting for the cell sensitivity to the environment and its appropriate adaptation. This cell model is ultimately intended to be used to address tissue morphogenesis. Hence it has been designed to comply with four requirements: (1) the cell should be able to probe and sense its environment and respond accordingly; (2) the model should be easy to parametrize to adapt to different cell types; (3) the model should be able to extend to 3D cases; (4) simulations should be fast enough to integrate many interacting cells. The simulations carried out focused on two aspects: first, the general behaviour of the cell on a homogeneous substrate, as observed experimentally, for model validation. This enabled us to decipher the mechanisms by which the cell can migrate, highlighting respective influences of the adhesions lifetimes and their sensitivity to traction; second, it predicts the sensitivity of the cell to an anisotropic patterned substrate, in agreement with recently published experiments. The results show that mechanosensors simulated by the model make it possible to reproduce such experiments in terms of migration bias generated by the substrate anisotropy. Here again, the model provides a biomechanical explanation of this phenomenon, depending on cell-matrix interactions and adhesion maturation rate.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1082-1100"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631488","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
Real-time EEG-based detection of driving fatigue using a novel semi-dry electrode with self-replenishment of conductive fluid. 基于脑电图的驾驶疲劳实时检测，采用新型半干电极，可自我补充导电液。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-11-04 DOI: 10.1080/10255842.2024.2423268
Fuwang Wang, Anni Luo, Daping Chen
{"title":"Real-time EEG-based detection of driving fatigue using a novel semi-dry electrode with self-replenishment of conductive fluid.","authors":"Fuwang Wang, Anni Luo, Daping Chen","doi":"10.1080/10255842.2024.2423268","DOIUrl":"10.1080/10255842.2024.2423268","url":null,"abstract":"<p><p>A novel semi-dry electrode that can realize self-replenishment of conductive liquid is proposed in this study. Driving fatigue is detected by extracting the refined composite multiscale fluctuation dispersion entropy (RCMFDE) features in electroencephalogram (EEG) signals collected by this electrode. The results show that the new semi-dry electrode can automatically complete the conductive fluid supplement according to its own humidity conditions, which not only notably improves the effective working time, but also significantly reduces the skin impedance. By comparing with the classical entropy algorithms, the computational speed and the stability of the RCMFDE method are Substantially enhanced.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1023-1040"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570344","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
The importance of analysing a single common window of a concentric and eccentric dynamic muscle contraction: unveiling the components of EMG data and motor unit pool. 分析同心和偏心动态肌肉收缩的单个共同窗口的重要性：揭示肌电图数据和运动单元库的组成部分。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-11-01 DOI: 10.1080/10255842.2024.2422900
Klaus Magno Becker, Márcio Goethel, Manoela Vieira Sousa, Isabella de Santana Batista, João Paulo Vilas-Boas, Ulysses Ervilha
{"title":"The importance of analysing a single common window of a concentric and eccentric dynamic muscle contraction: unveiling the components of EMG data and motor unit pool.","authors":"Klaus Magno Becker, Márcio Goethel, Manoela Vieira Sousa, Isabella de Santana Batista, João Paulo Vilas-Boas, Ulysses Ervilha","doi":"10.1080/10255842.2024.2422900","DOIUrl":"10.1080/10255842.2024.2422900","url":null,"abstract":"<p><p>This study proposes a method for analysing decomposed electromyographic signals to enhance the characterization of motor units (MU). It involves two steps: (i) clustering groups of motor units based on firing rate (FR), recruitment threshold, and MU action potential amplitude, and (ii) segmentation of data at the time of interest. Such method, capable of distinguishing different groups of MU, could help understanding muscle force production. FR of MU in <i>Vastus Lateralis</i> and <i>Rectus Femoris</i> during knee extension was investigated. The findings distinguish MU groups and reveals differences in: FR between both contractions types; clustered groups; and segmented MU data in both contraction types.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1059-1065"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142559301","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
Dynamical systems analysis of a reaction-diffusion SIRS model with optimal control for the COVID-19 spread. 对具有 COVID-19 传播优化控制的反应扩散 SIRS 模型进行动力系统分析。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-11-13 DOI: 10.1080/10255842.2024.2423879
Amer M Salman, Mohd Hafiz Mohd
{"title":"Dynamical systems analysis of a reaction-diffusion SIRS model with optimal control for the COVID-19 spread.","authors":"Amer M Salman, Mohd Hafiz Mohd","doi":"10.1080/10255842.2024.2423879","DOIUrl":"10.1080/10255842.2024.2423879","url":null,"abstract":"<p><p>We examine an SIRS reaction-diffusion model with local dispersal and spatial heterogeneity to study COVID-19 dynamics. Using the operator semigroup approach, we establish the existence of disease-free equilibrium (DFE) and endemic equilibrium (EE), and derive the basic reproduction number, <math><mrow><msub><mi>R</mi><mn>0</mn></msub></mrow></math>. Simulations show that without dispersal, reinfection and limited medical resources problems can cause a plateau in cases. Dispersal and spatial heterogeneity intensify localised outbreaks, while integrated control strategies (vaccination and treatment) effectively reduce infection numbers and epidemic duration. The possibility of reinfection demonstrates the need for adaptable health measures. These insights can guide optimised control strategies for enhanced public health preparedness.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1041-1058"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631573","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
Objective gait assessment and quantified recurrence analysis using foot-worn wearable sensor for healthy individuals. 目的：利用足部可穿戴传感器对健康人群进行步态评估及量化复发分析。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-04-01 Epub Date: 2024-11-30 DOI: 10.1080/10255842.2024.2427113
Preeti Khera, Ratan Das, Neelesh Kumar, Dinesh Pankaj, Manjeet Singh, Sudip Paul, Gajendra Kumar Mourya
{"title":"Objective gait assessment and quantified recurrence analysis using foot-worn wearable sensor for healthy individuals.","authors":"Preeti Khera, Ratan Das, Neelesh Kumar, Dinesh Pankaj, Manjeet Singh, Sudip Paul, Gajendra Kumar Mourya","doi":"10.1080/10255842.2024.2427113","DOIUrl":"10.1080/10255842.2024.2427113","url":null,"abstract":"<p><p>Wearable sensors allow mobility assessment required for better locomotion, neurological and musculoskeletal disorders, current limitations include unknown reliability and accuracy in real-life settings. This work determined the concurrent validity and repeatability of the proposed foot-worn gait evaluation system using objective gait features and recurrence quantification analysis from 52 participants. Its agreement with the commercially available OpenGo<sup>®</sup> system in the unrestricted outdoor environment is determined. Reported measures showed no significant differences (<i>p</i> > 0.05) between systems. Test-retest reliability showed that the mean of the second-third trial (T2-T3) is the most significant. Thus, an affordable system provides accurate measurement of gait ensuring its suitability even in small clinical-settings.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1101-1117"},"PeriodicalIF":1.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142774420","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
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