Computer Methods in Biomechanics and Biomedical Engineering最新文献

Mechanical competence of proximal tibia in persons with spinal cord injury: development of a computational framework to quantify torsional and compressive stiffness and strength. 脊髓损伤患者胫骨近端机械能力：量化扭转和压缩刚度和强度的计算框架的发展。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-19 DOI: 10.1080/10255842.2026.2749494

William Kuo, Christopher M Cirnigliaro, Anmol Doss, Noam Y Harel, Christopher P Cardozo, Steven Kirshblum, William A Bauman, Saikat Pal

引用次数: 0

Simulation-based evaluation of stretching behavior of NiTi wire-knitted implants for reconstructive plastic surgery. 重建整形手术中镍钛金属丝编织种植体拉伸行为的模拟评估。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-13 DOI: 10.1080/10255842.2026.2739432

Ekaterina Marchenko, Alexander Kozulin, Anna Vetrova, Marina Kovaleva, Gulsharat Baigonakova, Yuri Yasenchuk, Evgeniy Topolnitskiy, Tatiana Fomina

{"title":"Simulation-based evaluation of stretching behavior of NiTi wire-knitted implants for reconstructive plastic surgery.","authors":"Ekaterina Marchenko, Alexander Kozulin, Anna Vetrova, Marina Kovaleva, Gulsharat Baigonakova, Yuri Yasenchuk, Evgeniy Topolnitskiy, Tatiana Fomina","doi":"10.1080/10255842.2026.2739432","DOIUrl":"https://doi.org/10.1080/10255842.2026.2739432","url":null,"abstract":"A comprehensive study of the mechanical response of a titanium nickelide (TiNi) wire-knitted implant was conducted through tensile testing and finite element simulation using the Bergström-Boyce hyperelastic model calibrated via MCalibration and solved in ANSYS. The elongation-load curves for both the ribbon tissue scaffold (RTS) and the composite samples consisting of a RTS with biological tissues sprouted therein (RTS/bio-tissue) demonstrated nonlinear superelastic behavior. Under longitudinal tension, the biological tissue and the RTS exhibited similar deformation patterns. An evaluation of the biomechanical compatibility between soft tissues and the knitted metallic scaffold revealed the closest correspondence for the 40-µm thick RTS with muscle tissue, and for the 60-µm thick RTS with skin. However, it was noted that the contact areas of the metal knitted loops have the potential to cause damage to biological tissue. A microscopic examination of the connective tissue integrated with the RTS indicated successful incorporation of the implant into the rat abdominal wall under physiological loads, with no observed damage to the host tissue. Both microscopic analysis and low-cycle tensile tests confirmed that the RTS, once implanted, exhibited a relative elongation of less than 16%. This value represents the ultimate longitudinal elongation threshold identified during the pre-operative quantitative assessment of biomechanical compatibility between the RTS and biological tissues.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-15"},"PeriodicalIF":1.9,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149185862","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

Comparing Maximally Collapsing Metric Learning and Optimized Tunable Q-Wavelet Transform for Schizophrenia Identification Using EEG Signals. 最大坍缩度量学习与优化可调q -小波变换在脑电信号精神分裂症识别中的比较。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-09 DOI: 10.1080/10255842.2026.2743643

Rafik Djemili

引用次数: 0

Gait-based neurodegenerative disease classification using multimodal temporal-spectral representations and a dual-branch CNN. 基于多模态时间谱表征和双分支CNN的步态神经退行性疾病分类。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-08 DOI: 10.1080/10255842.2026.2736243

İsmihan Gül Ozeloglu, Eda Akman Aydin

引用次数: 0

A dual-channel deep learning framework integrating preoperative and intraoperative multi-phase data for predicting post-ablation recurrence in atrial fibrillation. 一个双通道深度学习框架，整合术前和术中多期数据，用于预测房颤消融后复发。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-07 DOI: 10.1080/10255842.2026.2736287

Mengfei Wu, Shouyang Zhu, Xingye Chen, Yuan Wang, Yu Wang, Hao Su

引用次数: 0

Deep fusion for multimodal subtype classification of major depressive disorders based on TSCANet. 基于TSCANet的重度抑郁症多模态亚型深度融合分类。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-07 DOI: 10.1080/10255842.2026.2731404

Yuchen Liang, Xuelin Gu, Jun Wang, Xiaoou Li, Lihong Pan

引用次数: 0

A dual-stream multi-scale cross-attention network for pericardial effusion detection. 心包积液检测的双流多尺度交叉注意网络。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-04 DOI: 10.1080/10255842.2026.2736736

Jie Gao, Pengliang Ju, Lixiu Chen, Yuzan Li, Jingjuan Huang, Jie Wu

引用次数: 0

Improving SpO₂ estimation accuracy under varying respiratory intensities using whale optimization and Gaussian process regression. 利用鲸鱼优化和高斯过程回归提高不同呼吸强度下SpO2估计精度。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-17 DOI: 10.1080/10255842.2025.2504160

Xiangqian Zuo, Min Li, Xinjie Feng, Xinchen Yu, Jing Jiang

{"title":"Improving SpO2 estimation accuracy under varying respiratory intensities using whale optimization and Gaussian process regression.","authors":"Xiangqian Zuo, Min Li, Xinjie Feng, Xinchen Yu, Jing Jiang","doi":"10.1080/10255842.2025.2504160","DOIUrl":"10.1080/10255842.2025.2504160","url":null,"abstract":"Accurate and continuous monitoring of oxygen saturation (SpO2) is critical for managing respiratory disorders. This study investigates the influence of varying respiratory intensities on SpO2 estimation and proposes an optimized predictive model to enhance accuracy. Photoplethysmography (PPG) signals were collected using a controlled laboratory simulator across SpO2 levels ranging from 80% to 100% under six distinct respiratory intensity levels, generating a dataset of 12,250 signal segments. To improve estimation performance, a Gaussian Process Regression (GPR) model was developed, with its hyperparameters optimized using five distinct algorithms: Bayesian Optimization (BO), Genetic Algorithm (GA), Whale Optimization Algorithm (WOA), Grey Wolf Optimizer (GWO), and Particle Swarm Optimization (PSO). These optimization techniques were selected to encompass diverse computational paradigms, including probabilistic modeling, evolutionary strategies, and swarm intelligence, ensuring a robust comparative evaluation. Experimental results demonstrated that the WOA-optimized GPR (WOA-GPR) model exhibited superior performance across varying respiratory conditions, achieving a Mean Absolute Error (MAE) between 0.89 and 1.41 and a Root Mean Square Error (RMSE) between 0.63 and 0.86. Comparative analysis against other regression models, including Support Vector Regression (SVR) and Random Forest Regression (RFR), further confirmed the effectiveness of the WOA-GPR model. Finally, validation using real-world physiological data reinforced its reliability for practical applications. These findings underscore the potential of WOA-GPR as a promising approach for enhancing real-time SpO2 estimation in health monitoring applications.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3117-3129"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086408","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

Numerical analysis of oscillating microbubbles coated with a lipid monolayer near a flexible tissue. 柔性组织附近涂有脂质单层的振荡微泡的数值分析。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-05-21 DOI: 10.1080/10255842.2025.2505651

Ramyar Doustikhah, Saeed Dinarvand, Pedram Tehrani, Mohammad Eftekhari Yazdi, Gholamreza Salehi

引用次数: 0

Type two fuzzy logic control system for powered ankle-foot prosthesis: robust performance against terrain and speed variations. 二类模糊逻辑控制系统用于动力踝足假体：对地形和速度变化的鲁棒性。

IF 1.9 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2026-10-01 Epub Date: 2025-06-04 DOI: 10.1080/10255842.2025.2506791

Mouaz Al Kouzbary, Joslyn Ker Xin Yeoh, Hamza Al Kouzbary, Jingjing Liu, Hanie Nadia Shasmin, Lai Kuan Tham, Nooranida Arifin, Noor Azuan Abu Osman

{"title":"Type two fuzzy logic control system for powered ankle-foot prosthesis: robust performance against terrain and speed variations.","authors":"Mouaz Al Kouzbary, Joslyn Ker Xin Yeoh, Hamza Al Kouzbary, Jingjing Liu, Hanie Nadia Shasmin, Lai Kuan Tham, Nooranida Arifin, Noor Azuan Abu Osman","doi":"10.1080/10255842.2025.2506791","DOIUrl":"10.1080/10255842.2025.2506791","url":null,"abstract":"The development of powered prostheses' control systems is drifting away from discontinuous control systems based on the finite state machine (FSM), due to the issues of misclassification. Recent research focused on model-based control systems, most widely used is the hybrid zero dynamic (HZD). However, the HZD system depends on the model accuracy and number of feedback signals. Navigating different terrains is vital for independent mobility for people with lower-limb amputation. In this paper, we propose a control system based on Takagi-Sugeno-Kang (TSK) inference. The fuzzy system is based on Type 2 membership functions to accommodate the gait cycle uncertainties. To fulfil the design procedure, experiments were conducted to capture the ambulation data in different terrains. Twelve individuals participated in four experiments, a set of seven inertial measurement units (IMUs) were placed on the lower body. The data was used to assess the control system behaviour terrains and subjects' data. A model was built to represent the powered ankle-foot prosthesis, where the ground reaction force (GRF) and the target angular position were experimentally extracted and fed to the model. The control system was evaluated using three evaluation parameters (root mean square error (RMSE), mean absolute error (MAE) and normalized cross-correlation). The average RMSE is 3.22 ± 2.7 degree, and a high correlation of 96.73% can be observed. The performance matrix is uniform based on Kruskal-Wallis test (p = 0.9954), and effect size (Cramér's V = 0.02) indicated negligible practical significance of the change of speed and terrain on the control performance.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"3153-3166"},"PeriodicalIF":1.9,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217456","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