{"title":"Unveiling the strain uniformity challenge: design and evaluation of a PDMS membrane for precise mechanobiology studies.","authors":"Nilüfer Düz, Yasin Gülsüm, Waleed Odeibat, Ismail Uyanık, Samet Akar, Pervin Dinçer","doi":"10.1080/10255842.2025.2495254","DOIUrl":"10.1080/10255842.2025.2495254","url":null,"abstract":"<p><p>Mechanotransduction and mechanosensing enable cells to respond to mechanical stimuli, essential in various physiological functions. Specialized cell stretching devices use stretchable, transparent, and biocompatible elastomeric membranes to study these responses. However, achieving strain uniformity is a key challenge, affecting data accuracy and reliability. This study designed a polydimethylsiloxane (PDMS) membrane with optimized uniformity for electromechanical cell stretching. Finite element analysis optimized membrane size and shape, achieving a 90% strain uniformity index-a 233% improvement over commercial membranes. By tailoring material properties like cross-linker ratio and curing time, membrane failure issues were resolved, enhancing applications in tissue engineering and mechanobiology research.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"2853-2865"},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144052239","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":"Finite element analysis of neck sports injury based on a whole cervical spine model with muscles.","authors":"Ying Han, Bing Zhang, Feng Zheng, Zhi Li, Huiping Gong, Shize Pei, Guangfei Song, Shuqi Zhang","doi":"10.1080/10255842.2025.2499624","DOIUrl":"10.1080/10255842.2025.2499624","url":null,"abstract":"<p><p>Cervical atlantoaxial subluxation injuries, often resulting from high-intensity external forces or improper posture during high-speed, rotational sports, pose significant risks to athletes' health and careers. This study aims to investigate the biomechanical effects of atlantoaxial subluxation on the cervical spine. Models representing Model 1 (healthy bone model), Model 2 (healthy muscle model), and atlantoaxial subluxation diseased model were developed using CT and MRI data. A 30 N gravitational force and a 1.5 Nm torque were applied to the C0 node. The study simulated changes in range of motion (ROM), disc stress, and muscle stress under six motion states-flexion-extension, lateral flexion, and axial rotation-to evaluate the post-injury movement limitations of the cervical spine. The validity and consistency of this study with cadaver data from the literature were verified through range of motion (ROM) comparison and Bland-Altman analysis. Compared to the healthy model, the diseased model showed a reduction in ROM, with a 10°-30° decrease in C0-C1 ROM across all six movements. The distribution of stress shifted from the bones to the damaged atlantoaxial joint and muscles, while the stress on the intervertebral discs decreased. This study, through the establishment of a finite element model of the cervical spine, reveals the biomechanical effects of atlantoaxial subluxation on the cervical spine, including reduced ROM, altered stress distribution, and increased muscle load. The findings provide a theoretical basis for the prevention of sports injuries, the development of rehabilitation programs, and personalized treatments, emphasizing the importance of muscle recovery and proper management of movement loads. Future work will further validate and expand the application by integrating clinical data.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"2951-2964"},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042777","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 deep neuro-fuzzy framework for speech emotion recognition.","authors":"Qingqing Zhang","doi":"10.1080/10255842.2025.2559060","DOIUrl":"10.1080/10255842.2025.2559060","url":null,"abstract":"<p><p>Speech Emotion Recognition (SER) is crucial in fields like healthcare and education, requiring robust techniques for accurate emotion detection. This paper proposes a deep neuro-fuzzy framework combining Deep Neural Networks (DNN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS). It includes fuzzification, deep feature extraction, and defuzzification units, enhancing SER accuracy while addressing ANFIS limitations with high-dimensional data and DNN's lack of interpretability. The scheme's productivity on three standard speech databases is appraised: RML, SAVEE, and RAVDESS. The results indicate that our framework outperforms ANFIS, DNN, and pre-trained models, achieving up to 97.95% accuracy and showing strong potential for future SER research.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"2965-2976"},"PeriodicalIF":1.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076543","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":"Advanced detection of fetal arrhythmia utilizing spatial deep convolutional neural network with GHA-DenseNet for enhanced electrocardiographic signal processing.","authors":"Joel T, Sethukarasi T","doi":"10.1080/10255842.2026.2706094","DOIUrl":"https://doi.org/10.1080/10255842.2026.2706094","url":null,"abstract":"<p><p>Fetal arrhythmia is a critical medical condition associated with perinatal morbidity and cardiac complications. This paper proposes an Advanced Detection of Fetal Arrhythmia utilizing Spatial Deep Convolutional Neural Network with GHA-DenseNet (DFA-SDCNN-GHANet). Initially, fetal ECG signals are preprocessed using Adaptive Fast Desensitized Kalman Filter (AFDKF) to remove artefacts, followed by Synthetic Minority Over-sampling Technique (SMOTE) for class balancing. Iterative Local Maximum Synchrosqueezing-Extracting Transform (ILMSET) extracts informative features, which are classified using SDCNN-GHANet optimized by the Black-Winged Kite Algorithm (BWKA). The proposed framework achieved 6.62%, 7.94%, and 9.75% higher F1-score than existing methods.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-16"},"PeriodicalIF":1.9,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867851","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":"3D finite element analysis of the effect of cytoskeleton crosslinking on osteocyte mechanical transmission based on tensegrity model.","authors":"Zhuang Han, Shou-Hui Wang, Bo Huo","doi":"10.1080/10255842.2026.2724358","DOIUrl":"https://doi.org/10.1080/10255842.2026.2724358","url":null,"abstract":"<p><p>The cytoskeleton mediates osteocyte responses to fluid shear stress from matrix deformation. Under simulated microgravity, cytoskeleton depolymerizes, while Spectrin-MS provides compensatory structural support. We modeled osteocytes with zero to three crosslinking levels under 1.5 Pa shear. Increased crosslinking raised membrane displacement (+2.60%) and stress (+20.71%), but reduced nuclear displacement (-12.93%) and stress (-10.86%). Cytoskeleton displacement and stress decreased with more crosslinking, whereas Spectrin-MS compensated. Crosslinking alters the intracellular mechanical environment, with Spectrin-MS playing a compensatory role, enhancing understanding of osteocyte mechanosensitivity.<sup> </sup>.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.9,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148867807","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}
Adda Cherif Aichouba, Abdelmadjid Moulgada, Mohammed El Sallah Zagane, Ali Benouis, Abderahmane Sahli
{"title":"Preliminary investigation and comparative assessment of thermo-mechanical performance of PCM-enhanced silicone liners.","authors":"Adda Cherif Aichouba, Abdelmadjid Moulgada, Mohammed El Sallah Zagane, Ali Benouis, Abderahmane Sahli","doi":"10.1080/10255842.2026.2723069","DOIUrl":"https://doi.org/10.1080/10255842.2026.2723069","url":null,"abstract":"<p><p>Excess heat accumulation and elevated interface pressures cause discomfort and skin complications for transfemoral prosthesis users. This study investigates the thermo-mechanical behavior of silicone liners reinforced with microencapsulated phase change material (PCM) at 5%, 10%, and 15% volume fractions (Si-5PCM, Si-10PCM, Si-15PCM), using a coupled 3D finite element model with multiscale homogenization. Results show the silicone liner reached the highest temperature (∼36°C) and highest coupled contact pressure (183.4 kPa), while Si-15PCM maintained the lowest temperature (∼34.6°C) with smaller pressure and shear-stress increases. Low-fraction PCM liners thus reduce heat-induced mechanical amplification, offering a more stable, skin-friendly prosthetic interface.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-13"},"PeriodicalIF":1.9,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148851808","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":"Real-time sleep spindle detection using adaptive Kalman filtering and innovation variance.","authors":"Levent Özbek","doi":"10.1080/10255842.2026.2724549","DOIUrl":"https://doi.org/10.1080/10255842.2026.2724549","url":null,"abstract":"<p><p>Sleep spindles are transient sigma-band oscillations occurring mainly during NREM Stage N2 and are associated with thalamocortical synchronisation and memory consolidation. Manual spindle scoring remains the clinical gold standard, yet it is labour-intensive and subject to inter-scorer variability. Many automated detectors depend on extensive preprocessing, handcrafted features, or black-box learning models, which may limit interpretability and real-time feasibility.We present an interpretable and computationally efficient spindle-detection framework based on adaptive Kalman filtering (AKF) and innovation variance. First, a proof-of-concept AKF models a single 30 s N2 epoch as a second-order kinematic state-space system and uses the time-varying innovation variance as a direct marker of local nonstationarity. Spindles are detected by a minimal thresholding rule applied to innovation variance, without band-pass filtering, envelope extraction, or time-frequency decomposition. On the pilot epoch, the AKF identifies two spindle events consistent with expert visual annotation, whereas a sigma-band Hilbert-envelope detector and a Martin-type RMS detector capture only a short, high-amplitude segment of the second spindle.Second, we generalise the approach to nine full-night recordings and introduce an AKF-Balanced (AB) detector. AB combines sigma-band filtering with AKF estimation in a three-state (amplitude-velocity-acceleration) model and delineates events using energy-like criteria and innovation-based morphological validation. Compared with two RMS-based detectors, a wavelet/Gabor-like detector, and the innovation-only AKF, AB yields physiologically plausible spindle densities and realistic duration statistics while maintaining a balanced overlap profile against a conservative RMS reference. Overall, model-based adaptive Kalman filtering with innovation variance provides a transparent, real-time-compatible alternative for sleep spindle detection.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-12"},"PeriodicalIF":1.9,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148851845","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 SOSMC-based COA-COOT approach for a multi-joint lower extremity exoskeleton system.","authors":"Rupam Gupta Roy, Girish Vithalrao Lakhekar, Dhrubajyoti Bhowmik, Muhammad Hassan Tanveer","doi":"10.1080/10255842.2026.2723088","DOIUrl":"https://doi.org/10.1080/10255842.2026.2723088","url":null,"abstract":"<p><p>Robotic exoskeletons offer significant potential for enhancing human capabilities and supporting medical rehabilitation. However, their control remains challenging due to nonlinear dynamics, parameter uncertainties, and external disturbances. To address these issues, this study proposes an AI-based adaptive control framework integrating a Second-Order Sliding Mode Controller (SOSMC) with a novel Coot Inherited Coati Optimization (COTI-CO) algorithm. The proposed hybrid optimizer combines the global exploration capability of the Coati Optimization Algorithm (COA) with the local exploitation capability of the Coot Optimization Algorithm (COOT) to optimally tune SOSMC gains. MATLAB simulations demonstrate improved tracking accuracy, faster convergence, reduced computational cost, and enhanced robustness under disturbances compared with GWO, COA, COO, and WO.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-13"},"PeriodicalIF":1.9,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148851802","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":"Hybrid parameter identification of a Modified Nonlinear Lobdell Thorax Model for blunt ballistic impacts.","authors":"Younes Kebbab, Mohamed Abderaouf Louar, Lamine Rebhi, Amar Oukara, Younes Djemaoune","doi":"10.1080/10255842.2026.2724360","DOIUrl":"10.1080/10255842.2026.2724360","url":null,"abstract":"<p><p>Kinetic energy non-lethal projectiles (KENLPs) can cause significant thoracic injuries, highlighting the need for computationally efficient tools in impact biomechanics. This study presents the Modified Nonlinear Lobdell Thorax Model (MNLTM), extending the original Lobdell architecture with nonlinear Hunt-Crossley contact and a progressive structural spring. A hybrid global-local strategy combining Latin Hypercube Sampling, Genetic Algorithm, and Sequential Quadratic Programming identifies a single parameter set across three experimental impact cases. The MNLTM reproduces displacement and force responses with improved agreement, achieving 77.0-85.4% displacement and 55.0-97.0% force corridor compliance. The model enables rapid thoracic simulations while reducing reliance on extensive physical testing.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-9"},"PeriodicalIF":1.9,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148851772","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}
Lingyu Bu, Bahige El Makkouk, Lauren Welte, Paul W Major, Dan L Romanyk
{"title":"Effect of geometric and numerical parameters on orthodontic aligner FEA outcomes.","authors":"Lingyu Bu, Bahige El Makkouk, Lauren Welte, Paul W Major, Dan L Romanyk","doi":"10.1080/10255842.2026.2723079","DOIUrl":"10.1080/10255842.2026.2723079","url":null,"abstract":"<p><p>Despite widespread use of finite element analysis (FEA) in orthodontic aligner biomechanics, the effects of gap size, friction coefficient, and aligner edge geometry remain unclear. This study developed a FEA model to investigate the effects of commonly simplified parameters on reaction forces and strain distributions, benchmarked against in vitro experiments using an orthodontic simulator. Gap size had the greatest effect on predicted outcomes of the tested assumptions compared to friction coefficient and edge geometry. Study findings highlight the sensitivity of orthodontic aligner FEA biomechanical predictions to geometric and numerical variables, and provide insight to the development of future studies.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.9,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148834386","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}