Computer Methods in Biomechanics and Biomedical Engineering最新文献

{"title":"Advanced design and classification of wearable near-infrared spectroscopy device using temporal channel reconfiguration multi-graph convolutional neural networks for motor activity.","authors":"V Akila, A Shirly Edward, J Anita Christaline","doi":"10.1080/10255842.2025.2510370","DOIUrl":"https://doi.org/10.1080/10255842.2025.2510370","url":null,"abstract":"<p><p>In this paper, advanced design and classification of wearable near-infrared spectroscopy device using temporal channel reconfiguration multi-graph convolutional neural networks for motor activity (WNISD-TRMCNN) are proposed. Input data is collected from real-time fNIRS data. The input data are pre-processed using event-triggered consensus Kalman filtering (ETCKF) to remove motion artefacts. Then, the pre-processed data is fed to TRMCNN for classifying wearable NIRS as oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR). To enhance classification, Young's double slit experiment optimization algorithm (YDSEOA) is applied. Performance metrics such as accuracy, precision, AUC, and processing time demonstrate the proposed method's superiority over existing techniques.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-15"},"PeriodicalIF":1.7,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276523","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 and thermal analysis of porous Ti-6Al-4V Scaffold dental implant prosthetics with a dense central core an investigation of the influence of porosity size on implants.","authors":"Ashkan Rokoui, Morteza Saeedzadeh, Seyyed Amirhosein Hosseini, Hassan Saeedzadeh","doi":"10.1080/10255842.2025.2511224","DOIUrl":"https://doi.org/10.1080/10255842.2025.2511224","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Investigating the temperature effects of eating or drinking food and hot or cold liquids, as well as the temperature distribution of these materials on porous dental implant scaffolds and evaluating their thermal loads, is significant. In this article, hot and cold temperature cycles from -10 °C to +60 °C were applied on dental implants with different porosity percentages and dental prostheses for 20 to 30 s, and their effects on bone and tissue were evaluated. Also, the temperature distribution during heat transfer has been studied and predicted, and the temperature difference and heat flux between two points of the dental implant structure along with the dental prosthesis and their contact surface with bone and tissue have been evaluated using the Finite Element Method (FEM). The results show that this scaffold porous dental implant with different central core diameters is very suitable for intra-jaw surgery applications. According to the materials used and the results obtained from heat transfer analyses under various temperatures, they have high strength and wear resistance. The results show that after the first thermal cycle, the temperature of this part of the implant with medium porosity is 2.96% lower than the high-porosity type and 5.1% lower than the low-porosity type. These results are 0.8% lower than the high porosity type and 1.33% lower than the low porosity type for the second type of thermal cycle, and 31.2% higher than the high porosity type and 4.15% higher than the low porosity type for the third type of thermal cycle. The reason for the large difference in the dimensions of medium, high, and low porosity is due to the negative heat flux, and as is clear from the results, the medium porosity implant maintains the medium temperature well and prevents the transfer of cold temperature to the bone and other biological organs. In this article, we have used a porous implant with a dense core diameter of 1.8 mm. These types of implants with a titanium alloy (Ti-6Al-4V) scaffold structure are used for dental applications. Due to the formation of an oxide layer on the implant structure, titanium alloy has long-term durability in the human jaw bone and ensures its stability in the tissue. Thermal analysis of the dental structure, temperature changes, and other components related to the incoming heat flux in the direction perpendicular to the placement of the implant inside the bone for dental prosthesis and implant, including abutment and fixture, has been investigated. We have used Ansys software to analyze the designed model's temperature distribution and thermal stress. The higher the percentage of porosity in the implant structure, the greater the effect of temperature on the entire structure, especially the lower parts of the implant. This means that these two parameters have a direct relationship with each other. The amount of heat transfer in the thermal analysis of favorable temperature and low temperature with high porosit","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-27"},"PeriodicalIF":1.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276525","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":"Machine learning-driven construction and validation of an intra-tumoral heterogeneity-associated prognostic model for bladder urothelial carcinoma.","authors":"Yiwei Gu, Hui Zhuo","doi":"10.1080/10255842.2025.2516767","DOIUrl":"https://doi.org/10.1080/10255842.2025.2516767","url":null,"abstract":"<p><p>Intra-tumoral heterogeneity (ITH) plays a crucial role in tumor progression and prognosis. This study aimed to construct a prognostic model for bladder urothelial carcinoma (BLCA) based on ITH-related genes. Transcriptomic and clinical data from multiple public cohorts were collected and processed. Hub genes associated with ITH were identified using Weighted Gene Co-expression Network Analysis. A 14-gene prognostic signature was developed using a combined LASSO and Random Survival Forest algorithm. The model demonstrated strong predictive performance, with high concordance index values and favorable time-dependent ROC curves in the training set and five independent validation cohorts. Furthermore, single-cell RNA sequencing analysis confirmed that several model genes were significantly overexpressed in BLCA samples compared to controls and showed distinct expression patterns across different cell types. These findings highlight the prognostic relevance of ITH-related genes and support the application of the proposed model in improving outcome prediction and guiding personalized therapy for BLCA patients.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-13"},"PeriodicalIF":1.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276526","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 analysis of posterior, transforaminal, extreme, oblique, and anterior lumbar interbody fusion surgical models: a finite element study.","authors":"Yutang Xie, Lei Ma, Zhengbiao Yang, Haochen Li, Wangping Duan, Kai Zhang, Yun Lv, Jing Chen, Yanru Xue, Yanqin Wang, Pengcui Li, Xiaochun Wei, Meng Zhang, Xuemei Fan, Xiaogang Wu, Weiyi Chen","doi":"10.1080/10255842.2025.2514135","DOIUrl":"https://doi.org/10.1080/10255842.2025.2514135","url":null,"abstract":"<p><p>Many lumbar interbody fusion methods have been proposed, but there is a relative scarcity of fundamental biomechanical research on these varied surgical procedures. In this study, a finite element model of an L4-L5 functional spinal unit was created and five interbody fusion methods were evaluated, including posterior lumbar interbody fusion (PLIF), transforaminal lumbar interbody fusion (TLIF), extreme lateral interbody fusion (XLIF), oblique lateral interbody fusion (OLIF) and anterior lumbar interbody fusion (ALIF). Static and harmonic vibration surgery analysis models were developed based on it, investigating the biomechanical properties, as well as the variation of strain energy. Results indicate that while OLIF and XLIF produced similar biomechanical outcomes, 45.8% higher facet joint contact stress in OLIF compared to XLIF. In contrast, TLIF and PLIF exhibit superior performance, with TLIF showing stress concentration on the left-side screw. ALIF outperformed other models in terms of overall stability, but has significantly higher stress peaks and sensitivity to vibration loads. In general, PLIF exhibits no significant shortcomings, TLIF offers excellent dynamic performance, OLIF and XLIF may exert greater pressure on the facet joints, and ALIF provides optimal stability. The integration of these findings into clinical practice can provide a theoretical basis for clinical surgeons when selecting surgical approaches.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-14"},"PeriodicalIF":1.7,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144259289","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 alterations in temporomandibular joint loading following sagittal split ramus osteotomy for mandibular deformity correction.","authors":"Fei Chen, Bingmei Shao, Desmond Y R Chong, Zhan Liu","doi":"10.1080/10255842.2025.2514131","DOIUrl":"https://doi.org/10.1080/10255842.2025.2514131","url":null,"abstract":"<p><p>This study investigated the effect of SSRO on TMJ biomechanics in mandibular deformity patients. Using 3D models with anterior incisal muscle forces and condyle-disc-fossa contact simulation, TMJ stress in 10 patients before and after SSRO was compared to that in 10 controls. Both pre- and postoperative condylar principal stresses (max/min) were significantly higher than those in controls (p<.05). Preoperative TMJ contact stress showed asymmetric distribution in patients with mandibular deviation, which was alleviated postoperatively. SSRO alleviates abnormal TMJ stress in mandibular deformities, and temporomandibular disorders correlate with TMJ stress distributions.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-10"},"PeriodicalIF":1.7,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250667","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":"Decoding EEG-based cognitive load using fusion of temporal and functional connectivity features.","authors":"Jiaguan Han, Gege Zhan, Lu Wang, Dida Liang, Huatian Zhang, Lihua Zhang, Xiaoyang Kang","doi":"10.1080/10255842.2025.2514132","DOIUrl":"https://doi.org/10.1080/10255842.2025.2514132","url":null,"abstract":"<p><p>Evaluating cognitive load using electroencephalogram (EEG) signals is a crucial research area in the field of Brain-Computer Interfaces (BCI). However, achieving high accuracy and generalization in feature extraction and classification for cognitive load assessment remains a challenge, primarily due to the low signal-to-noise ratio of EEG signals and the inter-individual variability in EEG data. In this study, we propose a novel deep learning architecture that integrates temporal information features and functional connectivity features to enhance EEG signal analysis. Functional connectivity features capture inter-channel information, while temporal features are extracted from continuous signal segments using a Long Short-Term Memory (LSTM) network enhanced with an attention mechanism. The fusion strategy combines these two information streams to leverage their complementary strengths, resulting in improved classification performance. We evaluated our architecture on two publicly available datasets, and the results demonstrate its robustness in cognitive load recognition. Achieving performance comparable to the best existing methods on two public datasets. Ablation studies further substantiate the contributions of each module, demonstrating the importance of combining temporal and functional connectivity features for optimal results. These findings underscore the robustness and versatility of the proposed approach, paving the way for more effective EEG-based BCI applications.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-16"},"PeriodicalIF":1.7,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250668","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":"The influence of Hill's force-velocity relation on left ventricular mechanics in simulated hypertensive conditions with variable afterload.","authors":"Nurul Jannah Zamberi, Chin Neng Leong, Farina Muhamad, Andri Andriyana, Azam Ahmad Bakir, Socrates Dokos, Einly Lim","doi":"10.1080/10255842.2025.2514130","DOIUrl":"https://doi.org/10.1080/10255842.2025.2514130","url":null,"abstract":"<p><p>Hill's force-velocity relationship is integrated into a 3D left-ventricular finite element model to enhance myocardial contraction dynamics alongside the Frank-Starling mechanism. Hypertensive conditions were simulated by adjusting arterial resistance and compliance to mimic varying afterload, with damping applied on velocity as an alternative stabilization method for numerical stability. Hill's relationship reduced peak systolic pressures (6.3%-7.2%) as hypertension progressed, moderated shortening velocities (1.61-1.69 s^-1), and prevented velocity overshoot. Cardiac output was preserved, and ejection fraction remained unaffected. These findings highlight Hill's role in regulating systolic function, optimizing myocardial response under elevated afterload, and improving predictive capabilities for hypertensive heart disease.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-13"},"PeriodicalIF":1.7,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250672","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":"Multimodal apnea detection: advancements through convolutional neural networks and STFT analysis of EEG, ECG, and nasal signals to tackle key challenges in innovation.","authors":"Mandana Sadat Ghafourian, Amin Noori, Shaghayegh Taghipour, Amin Ramezani","doi":"10.1080/10255842.2025.2510367","DOIUrl":"https://doi.org/10.1080/10255842.2025.2510367","url":null,"abstract":"<p><p>Sleep apnea is a prevalent chronic disorder posing significant health risks, requiring prompt diagnosis for effective treatment. This study introduces a reliable and efficient method using simultaneous electroencephalography (EEG), electrocardiography (ECG), and nasal airflow signals to distinguish apnea subtypes. The approach involves signal preprocessing with bandpass filtering and applying the short-time Fourier transform (STFT) to create spectrograms for 30-second segments. A convolutional neural network (CNN) classifies normal events, obstructive sleep apnea (OSA), central sleep apnea (CSA), and hypopnea. Results show our method achieved 98.01% accuracy, highlighting its potential to enhance personalized care for sleep apnea patients.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.7,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250671","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":"Design and analysis of wedge type porous structured implants fabricated from additive manufacturing (AM) technique for optimum stress shielding effect.","authors":"Tolga Meral, Ramazan Özmen, Mustafa Günay","doi":"10.1080/10255842.2025.2514796","DOIUrl":"https://doi.org/10.1080/10255842.2025.2514796","url":null,"abstract":"<p><p>Recent advances in additive manufacturing have shown that porous cellular architectures can help reduce stress shielding in implants. This study used finite element analysis (FEA) to design wedge-shaped implants with lower elastic modulus, incorporating triply periodic minimal surface structures-specifically Gyroid and Schwarz-P types. Designs considered selective laser melting constraints, and produced using Ti6Al4V with five porosity levels (55-75%). Compression simulations revealed that increasing porosity decreased both Young's modulus and yield strength. The 75% porous Gyroid structure had the lowest Young's modulus (12.81 GPa), closest to that of natural bone. These results suggest FEA can effectively guide the design of bone-mimicking implants.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-15"},"PeriodicalIF":1.7,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250669","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 biomechanical evaluation of internal fixation methods for metacarpal shaft fractures under multiple factors.","authors":"Chun-Lin Zhang","doi":"10.1080/10255842.2025.2516766","DOIUrl":"https://doi.org/10.1080/10255842.2025.2516766","url":null,"abstract":"<p><p>Metacarpal shaft fractures often require surgical correction of displacement, angulation, or rotational deformities to restore function. Kirschner wires (K-wires), plates, and intramedullary screw fixation each have advantages and limitations. However,inconsistent biomechanical evidence in existing studies has precluded definitive conclusions regarding the optimal fixation technique. This studycompared K-wires, plates, and intramedullary screw for metacarpal shaft fractures using finite element analysis (FEA). In normal bone, intramedullary screw matched plate stability under low loads but were inferior under high loads, K-wires performed poorest. In osteoporotic bone, intramedullary screw provided superior stability, stress distribution, and less stress shielding than plates or K-wires. These findings would offer valuable biomechanical insights for metacarpal fractures treatment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250670","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}