Computer Methods in Biomechanics and Biomedical Engineering最新文献

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Fetus descent simulation with the active uterine contraction during the vaginal delivery: MRI-based evaluation and uncertainty quantification 在阴道分娩过程中,利用主动子宫收缩模拟胎儿下降:基于磁共振成像的评估和不确定性量化
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-10 DOI: 10.1080/10255842.2024.2399777
Trieu-Nhat-Thanh Nguyen, Abbass Ballit, Morgane Ferrandini, Jean-Baptiste Colliat, Tien-Tuan Dao
{"title":"Fetus descent simulation with the active uterine contraction during the vaginal delivery: MRI-based evaluation and uncertainty quantification","authors":"Trieu-Nhat-Thanh Nguyen, Abbass Ballit, Morgane Ferrandini, Jean-Baptiste Colliat, Tien-Tuan Dao","doi":"10.1080/10255842.2024.2399777","DOIUrl":"https://doi.org/10.1080/10255842.2024.2399777","url":null,"abstract":"Finite element models ranging from single to multiscale models have been widely used to gain valuable insights into the physiological delivery process and associated complication scenarios. However...","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142178295","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
Exploring the contribution of joint angles and sEMG signals on joint torque prediction accuracy using LSTM-based deep learning techniques. 利用基于 LSTM 的深度学习技术,探索关节角度和 sEMG 信号对关节扭矩预测准确性的影响。
IF 1.7 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-05 DOI: 10.1080/10255842.2024.2400318
Engin Kaya, Hande Argunsah
{"title":"Exploring the contribution of joint angles and sEMG signals on joint torque prediction accuracy using LSTM-based deep learning techniques.","authors":"Engin Kaya, Hande Argunsah","doi":"10.1080/10255842.2024.2400318","DOIUrl":"https://doi.org/10.1080/10255842.2024.2400318","url":null,"abstract":"<p><p>Machine learning (ML) has been used to predict lower extremity joint torques from joint angles and surface electromyography (sEMG) signals. This study trained three bidirectional Long Short-Term Memory (LSTM) models, which utilize joint angle, sEMG, and combined modalities as inputs, using a publicly accessible dataset to estimate joint torques during normal walking and assessed the performance of models, that used specific inputs independently plus the accuracy of the joint-specific torque prediction. The performance of each model was evaluated using normalized root mean square error (nRMSE) and Pearson correlation coefficient (PCC). Each model's median scores for the PCC and nRMSE values were highly convergent and the bulk of the mean nRMSE values of all joints were less than 10%. The ankle joint torque was the most successfully predicted output, having a mean nRMSE of less than 9% for all models. The knee joint torque prediction has reached the highest accuracy with a mean nRMSE of 11% and the hip joint torque prediction of 10%. The PCC values of each model were significantly high and remarkably comparable for the ankle (∼ 0.98), knee (∼ 0.92), and hip (∼ 0.95) joints. The model obtained significantly close accuracy with single and combined input modalities, indicating that one of either input may be sufficient for predicting the torque of a particular joint, obviating the need for the other in certain contexts.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134364","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
Analysis of human ambulation as a chaotic time-series: with nonlinear dynamics tools. 利用非线性动力学工具分析作为混沌时间序列的人类行走。
IF 1.7 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-04 DOI: 10.1080/10255842.2024.2399023
Mouaz Al Kouzbary, Hamza Al Kouzbary, Jingjing Liu, Hanie Nadia Shasmin, Nooranida Arifin, Noor Azuan Abu Osman
{"title":"Analysis of human ambulation as a chaotic time-series: with nonlinear dynamics tools.","authors":"Mouaz Al Kouzbary, Hamza Al Kouzbary, Jingjing Liu, Hanie Nadia Shasmin, Nooranida Arifin, Noor Azuan Abu Osman","doi":"10.1080/10255842.2024.2399023","DOIUrl":"https://doi.org/10.1080/10255842.2024.2399023","url":null,"abstract":"<p><p>The aim of the present study is to investigate the complexity and stability of human ambulation and the implications on robotic prostheses control systems. Fourteen healthy individuals participate in two experiments, the first group run at three different speeds. The second group ascended and descended stairs of a five-level building block at a self-selected speed. All participants completed the experiment with seven inertial measurement units wrapped around the lower body segments and waist. The data were analyzed to determine the fractal dimension, spectral entropy, and the Lyapunov exponent (LyE). Two methods were used to calculate the long-term LyE, first LyE calculated using the full size of data sets. And the embedding dimensions were calculated using Average Mutual Information (AMI) and the False Nearest Neighbor (FNN) algorithm was used to find the time delay. Besides, a second approach was developed to find long-term LyE where the time delay was based on the average period of the gait cycle using adaptive event-based window. The average values of spectral entropy are 0.538 and 0.575 for stairs ambulation and running, respectively. The degree of uncertainty and complexity increases with the ambulation speed. The short term LyEs for tibia orientation have the minimum range of variation when it comes to stairs ascent and descent. Using two-way analysis of variance we demonstrated the effect of the ambulation speed and type of ambulation on spectral entropy. Moreover, it was shown that the fractal dimension only changed significantly with ambulation speed.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127232","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
Digital twin-driven dynamic monitoring system of the upper limb force. 数字双驱动上肢力量动态监测系统。
IF 1.7 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-01 Epub Date: 2023-09-15 DOI: 10.1080/10255842.2023.2254881
Yanbin Guo, Yingbin Liu, Wenxuan Sun, Shuai Yu, Xiao-Jian Han, Xin-Hui Qu, Guoping Wang
{"title":"Digital twin-driven dynamic monitoring system of the upper limb force.","authors":"Yanbin Guo, Yingbin Liu, Wenxuan Sun, Shuai Yu, Xiao-Jian Han, Xin-Hui Qu, Guoping Wang","doi":"10.1080/10255842.2023.2254881","DOIUrl":"10.1080/10255842.2023.2254881","url":null,"abstract":"<p><p>Digital twin represents the core technology to realize the dynamic monitoring of complex industrial systems. However, the human body, as the most complex system in the physical world, digital twin is rarely applied in it. In this study, we successfully demonstrated a digital twin in the human biomedical application by proposing a dynamic monitoring system of the upper limb force. In this system, the real upper limb drives the motion of the virtual one in real-time and dynamically updates the force. Meanwhile, the virtual upper limb feeds back the monitoring-results of the force to the controller of the real upper limb <i>via</i> immersive virtual reality interaction. Experimental results of the typical motions of the upper limb revealed that the proposed system functioned interactively in real-time in a non-invasive manner, while ensuring the accurate solving of the muscle force. In conclusion, our digital twin-driven system is of great importance for rehabilitation medicine, biomechanical scientific research and physical training, promoting the application of the digital twin in the human biomedical field.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10246185","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
Learning classifiers in clustered data: BCI pattern recognition model for EEG-based human emotion recognition. 在聚类数据中学习分类器:基于脑电图的人类情绪识别 BCI 模式识别模型。
IF 1.7 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-01 Epub Date: 2023-09-05 DOI: 10.1080/10255842.2023.2252953
Raoufeh Kheirabadi, Hesam Omranpour
{"title":"Learning classifiers in clustered data: BCI pattern recognition model for EEG-based human emotion recognition.","authors":"Raoufeh Kheirabadi, Hesam Omranpour","doi":"10.1080/10255842.2023.2252953","DOIUrl":"10.1080/10255842.2023.2252953","url":null,"abstract":"<p><p>Evidence suggests that human emotions can be detected using Electroencephalography (EEG) brain signals. Recorded EEG signals, due to their large size, may not initially perform well in classification. For this reason, various feature selection methods are used to improve the performance of classification. The nature of EEG signals is complex and unstable. This article uses the <i>Empirical Mode Decomposition</i> (<i>EMD</i>) method, which is one of the most successful methods in analyzing these signals in recent years. In the proposed model, first, the EEG signals are decomposed using EMD into the number of Intrinsic Mode Functions (<i>IMF</i>), and then, the statistical properties of the IMFs are extracted. To improve the performance of the proposed model, using the RBF kernel and Least Absolute Shrinkage and Selection Operator (LASSO) feature selection, an effective subset of the features that have changed the space is selected. The data are then clustered, and finally, each cluster is classified with a decision tree and random forest and KNN. The purpose of clustering is to increase the accuracy of the classification, which is achieved by focusing each cluster on a limited number of classes. This experiment was performed on the DEAP dataset. The results show that the proposed model with 99.17% accuracy could perform better than recent research such as deep learning and show good performance. In the latest years, with the development of the BCI system, the demand for recognizing emotions based on EEG has increased. We provide a method for classifying clustered data that is efficient for high accuracy.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10508292","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
Calibration of Holzapfel-Gasser-Ogden collateral ligament properties in a hybrid post-arthroplasty knee joint model for laxity testing. 校准用于松弛测试的混合关节置换术后膝关节模型中的 Holzapfel-Gasser-Ogden 副韧带特性。
IF 1.7 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-01 Epub Date: 2023-09-05 DOI: 10.1080/10255842.2023.2253950
Lucas Milakovic, Félix Dandois, Heleen Fehervary, Lennart Scheys
{"title":"Calibration of Holzapfel-Gasser-Ogden collateral ligament properties in a hybrid post-arthroplasty knee joint model for laxity testing.","authors":"Lucas Milakovic, Félix Dandois, Heleen Fehervary, Lennart Scheys","doi":"10.1080/10255842.2023.2253950","DOIUrl":"10.1080/10255842.2023.2253950","url":null,"abstract":"<p><p>Knee collateral ligaments play a vital role in providing frontal-plane stability in post-total knee arthroplasty (TKA) knees. Finite element models can utilize computationally efficient one-dimensional springs or more physiologically accurate three-dimensional continuum elements like the Holzapfel-Gasser-Ogden (HGO) formulation. However, there is limited literature defining subject-specific mechanical properties, particularly for the HGO model. In this study, we propose a co-simulation framework to obtain subject-specific material parameters for an HGO-based finite element ligament model integrated into a rigid-body model of the post-TKA knee. Our approach achieves comparable accuracy to spring formulations while significantly reducing coefficient calibration time and demonstrating improved correlation with reference knee kinematics and ligament strains throughout the tested loading range.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10508299","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
Influence of foot excitation and shin posture on the vibration behavior of the entire spine inside a seated human body. 脚部激励和胫骨姿势对人体坐姿下整个脊柱振动行为的影响。
IF 1.7 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-01 Epub Date: 2023-09-05 DOI: 10.1080/10255842.2023.2252956
RuiChun Dong, ShengJie Tang, Xiang Cheng, ZongLiang Wang, PeiBiao Zhang, Zheng Wei
{"title":"Influence of foot excitation and shin posture on the vibration behavior of the entire spine inside a seated human body.","authors":"RuiChun Dong, ShengJie Tang, Xiang Cheng, ZongLiang Wang, PeiBiao Zhang, Zheng Wei","doi":"10.1080/10255842.2023.2252956","DOIUrl":"10.1080/10255842.2023.2252956","url":null,"abstract":"<p><p>Due to ethical issues and simplification of traditional biomechanical models, experimental methods and traditional computer methods were difficult to quantify the effects of foot excitation and shin posture on vibration behavior of the entire spine inside a seated human body under vertical whole-body vibration. This study developed and verified different three-dimensional (3D) finite element (FE) models of seated human body with detailed anatomical structure under the biomechanical characteristics to predict vibration behavior of the entire spine inside a seated human body with different foot excitation (with and without vibration) and shin posture (vertical and tilt posture). Random response analysis was performed to study the transmissibility of the entire spine to seat under vertical white noise excitation between 0 and 20 Hz at 0.5 m/s<sup>2</sup> r.m.s. The results showed that although the foot excitation could reduce the fore-aft transmissibility in the cervical spine (23% reduction), it could significantly increase that in the lumbar spine (52% increase), which resulted in complex alternating stresses at lumbar spine and made the lumbar spine more vulnerable to injury in long-term vibration environment. Moreover, the shin tilt posture made the maximum fore-aft transmissibility in the lumbar spine move to the upper lumbar spine. The study provided new insights into the influence of foot excitation and shin posture on the vibration behavior of the entire spine inside a seated human body. Foot excitation exposed the lumbar spine to complex alternating stresses and made it more vulnerable to injury in long-term whole body vibration.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10508290","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 size and shape of the side holes of a double J stent on the ureter fluid flow after stenosis. 双 J 支架侧孔的大小和形状对狭窄后输尿管液流的影响
IF 1.7 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-01 Epub Date: 2023-08-30 DOI: 10.1080/10255842.2023.2252550
Seung Bae Lee, Kyung-Wuk Kim, Se-Hyun Park, Yasutaka Baba, Changje Lee, Young Ho Choi, Hyoung-Ho Kim
{"title":"Effects of size and shape of the side holes of a double J stent on the ureter fluid flow after stenosis.","authors":"Seung Bae Lee, Kyung-Wuk Kim, Se-Hyun Park, Yasutaka Baba, Changje Lee, Young Ho Choi, Hyoung-Ho Kim","doi":"10.1080/10255842.2023.2252550","DOIUrl":"10.1080/10255842.2023.2252550","url":null,"abstract":"<p><p>The effect of side holes morphology changes in double J stent (DJS) on encrustation was analyzed using computational fluid dynamics (CFD). We analyzed DJS side holes with inner diameter of 1 mm and outer diameters of 1 (type A), 1.2 (type B) and 1.4 (type C) mm, respectively. Concentric stenosis with three intraureteral degree (0%, 12%, and 88%) was analyzed. The flow rate, shear stress and wall shear stress (WSS) distribution were investigated. Urine flow through SH1 before the ureteropelvic junction (UPJ) differed based on the ureteral stenosis degree. The sum of flow rates through the SHs increased with diameter. In the stented ureter with 12% stenosis, the flow rate through SH1 approximately doubled than that without ureteral stenosis, and the flow rate through SH1 was maximal for the type 'C' stent in both 12% and 88% ureteral stenosis. The mean shear stress in the SHs increased with the degree of stenosis. The WSS around the SHs was higher for type 'C' than types A and B. From the flow rates and shear stresses in and around the SHs, the larger SH diameter of the DJS from the UPJ to mid-ureter is expected to induce encrustation reduction, especially in patients with urinary lithiasis.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10123450","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
Stress distribution for mandibular extra-alveolar anchorage at different angles and force magnitudes: a finite element study. 下颌牙槽外锚固在不同角度和力大小下的应力分布:有限元研究。
IF 1.7 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-01 Epub Date: 2023-08-30 DOI: 10.1080/10255842.2023.2252549
E V Arango-Piloneta, S P Plaza-Ruiz, D F León-Lara, M Munera, B Bedoya-Henao, T Martínez-Gallego
{"title":"Stress distribution for mandibular extra-alveolar anchorage at different angles and force magnitudes: a finite element study.","authors":"E V Arango-Piloneta, S P Plaza-Ruiz, D F León-Lara, M Munera, B Bedoya-Henao, T Martínez-Gallego","doi":"10.1080/10255842.2023.2252549","DOIUrl":"10.1080/10255842.2023.2252549","url":null,"abstract":"<p><p>The aim of this study was to evaluate the stress distribution in cortical and cancellous bones and within the screw when a stainless steel extra-alveolar screw (EA-S) is inserted into the retromolar region of the mandible using the finite element method (FEM). The stress values in the EA-S were highest at 60° with horizontal (shear) force and lowest at 90° with axial force. In the bones (cortical and cancellous), the stress value was greatest at 90° with horizontal force. Greater stability of the screw may be achieved by tilting it to the force when horizontal loads are applied.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10123451","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
Evaluation of the effect of different rubber dam clamps on the mandibular first molar with Finite element analysis. 通过有限元分析评估不同橡胶坝夹对下颌第一磨牙的影响。
IF 1.7 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-09-01 Epub Date: 2023-09-07 DOI: 10.1080/10255842.2023.2254882
Mehmet Eskibağlar, Serkan Erdem, Mete Onur Kaman
{"title":"Evaluation of the effect of different rubber dam clamps on the mandibular first molar with Finite element analysis.","authors":"Mehmet Eskibağlar, Serkan Erdem, Mete Onur Kaman","doi":"10.1080/10255842.2023.2254882","DOIUrl":"10.1080/10255842.2023.2254882","url":null,"abstract":"<p><p>The aim of this study was to evaluate the stress induced by clamps made of different materials on mandibular first molar teeth using finite element analysis. The tooth model to be used in the study was created using micro-CT scanner and the rubber dam clamp model was created in three dimensions (3D) using Solidworks and applied to a finite element tooth model of an intact mandibular first molar. The size of the clamp opening and the force to be applied were calculated according to the buccolingual distances of the tooth. The contact areas of the clamps on the tooth were determined and subjected to force. The stress distribution patterns and maximum von Mises stresses were calculated and compared against these forces. The most stress against these forces occurred in the enamel tissue on the distal side where the clamp was in contact with the tooth. The stress value in the stainless steel clamp (191.63 MPa) was approximately 85% higher than the clamp made of polyethylene ketone (103.85 MPa). The stress in the dentin and pulp tissue of the tooth was negligible. Clinicians should examine the enamel tissue below the equatorial line of the tooth in detail before clamp application. The forces exerted by stainless steel clamps can cause damage to the enamel tissue of the tooth or progression of an existing enamel crack.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10169925","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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