Computer Methods in Biomechanics and Biomedical Engineering最新文献_第8页

Investigation of stress distribution of different types of composite resins in mod cavities of primary molar teeth. 不同类型复合树脂在初级磨牙模腔中的应力分布研究。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-18 DOI: 10.1080/10255842.2025.2465339

Selin Acar, Cigdem Guler, Mehmet Sami Guler, Muhammed Latif Bekci

{"title":"Investigation of stress distribution of different types of composite resins in mod cavities of primary molar teeth.","authors":"Selin Acar, Cigdem Guler, Mehmet Sami Guler, Muhammed Latif Bekci","doi":"10.1080/10255842.2025.2465339","DOIUrl":"https://doi.org/10.1080/10255842.2025.2465339","url":null,"abstract":"The aim of this study is to examine the mechanical behavior of different types of composite resins (short fiber-reinforced composite, conventional high-fill hybrid composite and bulk-fill composite) used in the restoration of class II MOD cavities of primary molar teeth by the finite element analysis (FEA). Three three-dimensional tooth models were created in a computer environment. Model 1: tooth model without restoration (control group), Model 2: class II MOD cavity tooth model restored using composite resin (incremental technique), and Model 3: class II MOD cavity tooth model restored using composite resin (bulk technique). Subgroups were formed using the properties of different types of composite resins tested in the class II MOD cavity tooth model. To simulate the average bite force in a child with primary dentition, vertical static loading of 245 N was applied to each of the occlusal contact points of the models. The maximum von Mises stress values were calculated for the models. For all models, the von Mises stress values obtained in enamel were higher than those obtained in dentin. Similar von Mises stress values were obtained in all subgroups of Model 2. The lowest von Mises stress values transmitted to the dental tissues were obtained in Model 3.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-10"},"PeriodicalIF":1.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442613","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

Biomechanical properties of tetrahedral microstructure for design of the porous stem in total hip arthroplasty. 全髋关节置换术中多孔杆设计的四面体微结构生物力学特性研究。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-18 DOI: 10.1080/10255842.2025.2466225

Yuzhu Wang, Jingyang Chen, Chun Li, Chenhao Ma, Liang Chen, Yufeng Wu, Dawei Gao, Haibin Wang

引用次数: 0

On the evolution of stresses in a stratified atherosclerotic arterial tissue. 层状动脉粥样硬化组织中应力的演变。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-18 DOI: 10.1080/10255842.2025.2466224

Arthesh Basak, Shramika Annreddy, Surya Teja Chinnala

{"title":"On the evolution of stresses in a stratified atherosclerotic arterial tissue.","authors":"Arthesh Basak, Shramika Annreddy, Surya Teja Chinnala","doi":"10.1080/10255842.2025.2466224","DOIUrl":"https://doi.org/10.1080/10255842.2025.2466224","url":null,"abstract":"Cardiovascular diseases are, according to the World Health Organization, the leading cause of deaths worldwide. A common cardiovascular disease is the coronary artery disease which results in the development of a plaque inside the coronary artery. This process, called atherosclerosis, reduces the gross cross section area of the lumen and creates an enhanced stress distribution in the arterial tissue which can further lead to rupture of the plaque initiating a myocardium infarction and manifesting a sharp angina in the patient. This work aims to analyse the evolution of the response of a sclerotic coronary artery as compared to a healthy artery. A three layered arterial tissue has been modeled in commercial finite element software. The layers were adhered by implementing contact modeling. Next a plaque was introduced in the model that would result in the reduction of the cross section of the lumen by 50 percentage. The plaque was modeled using hydrostatic fluid elements and was assumed to be incompressible. An axisymmetric finite element analysis was carried out for the tissues under a radial pressure. The results portray the evolution of the Von Mises stress, shear stresses as well as contact stresses on the interface between layers for a diseased coronary artery as compared to a healthy one.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-9"},"PeriodicalIF":1.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143441858","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 impact of posterior tooth loss on the biomechanics of the temporomandibular joints. 后牙脱落对颞下颌关节生物力学的影响。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-17 DOI: 10.1080/10255842.2025.2466076

Yuanli Zhang, Hong Huang, Po Hao, Guizhi Zhang, Yang Wang, Fei Chen, Chunxin Yang, Zhan Liu

引用次数: 0

Assessment of plantar pressure dynamics in firefighters carrying self-contained breathing apparatus: a computational approach to gait stability analysis. 携带自给式呼吸器的消防员足底压力动态评估：步态稳定性分析的计算方法。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-17 DOI: 10.1080/10255842.2025.2465354

Bing Xie, Junxia Zhang

引用次数: 0

Sleep-wake stages classification based on single channel ECG signals by using a dynamic connection convolutional neural network. 基于单通道心电信号的动态连接卷积神经网络的睡眠-觉醒阶段分类。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-16 DOI: 10.1080/10255842.2025.2465358

Junming Zhang, Hao Dong, Yipei Li, Haitao Wu

{"title":"Sleep-wake stages classification based on single channel ECG signals by using a dynamic connection convolutional neural network.","authors":"Junming Zhang, Hao Dong, Yipei Li, Haitao Wu","doi":"10.1080/10255842.2025.2465358","DOIUrl":"https://doi.org/10.1080/10255842.2025.2465358","url":null,"abstract":"In the field of sleep medicine, identifying sleep-wake stages is crucial for evaluate of sleep quality. Until now, numerous methods have been proposed for sleep-wake classification. These methods predominantly utilize electroencephalogram (EEG) signals, achieving competitive performance in sleep-wake stage classification. However, acquiring EEG signals is both cumbersome and inconvenient. At the same time, EEG signals are very weak and are easily disturbed. In contrast EEG signal, collecting electrocardiogram (ECG) signals is relatively simple and convenient. Therefore, based on the ECG signals, we propose a simple and effective sleep-wake stages model that can be used for wearable devices. In order to extract multi-scale features of ECG signals, convolutional kernels of different sizes are designed. Then, a novel dynamic connection convolutional neural network (DCCNN) is proposed to classify sleep-wake stages. First, the DCCNN calculates the goodness of feature maps from each layer. Second, according to the goodness of different layers, select the optimal layer to form a residual module with the current layer. The proposed method was tested on sleep data from a publicly accessible databases, namely the MIT-BIH Polysomnographic Database, resulting in an best accuracy of 92.21%. The findings are similar and higher performance to those models trained with EEG signals. Moreover, when compared to state-of-the-art methods, the proposed approach's effectiveness is further demonstrated. In conclusion, this research offers a novel approach for sleep monitoring.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-16"},"PeriodicalIF":1.7,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143434314","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

An efficient deep learning approach for automatic speech recognition using EEG signals. 基于脑电信号的语音自动识别的高效深度学习方法。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-16 DOI: 10.1080/10255842.2025.2456982

Babu Chinta, Madhuri Pampana, Moorthi M

引用次数: 0

An improved decision tree model through hyperparameter optimization using a modified gray wolf optimization for diabetes classification. 采用改进的灰狼优化方法对决策树模型进行超参数优化，用于糖尿病分类。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-13 DOI: 10.1080/10255842.2025.2460178

Muhammad Sam'an, Farikhin, Muhammad Munsarif

{"title":"An improved decision tree model through hyperparameter optimization using a modified gray wolf optimization for diabetes classification.","authors":"Muhammad Sam'an, Farikhin, Muhammad Munsarif","doi":"10.1080/10255842.2025.2460178","DOIUrl":"https://doi.org/10.1080/10255842.2025.2460178","url":null,"abstract":"Diabetes is a chronic condition that affects blood sugar levels and vital organs in the body. Early detection is crucial given the increasing global prevalence of diabetes and the grave risk of complications if not properly managed. Thus, a good prediction system is necessary. Although the Decision Tree (DT) is commonly used for classification, it is less effective with large datasets. We propose hyperparameter optimization of the DT using the Grey Wolf Optimization (GWO), which has exploration and both exploitation capabilities. However, the limited search space of GWO may hinder practical exploration and exploitation, leading to premature optimization. To address this, we propose a modified GWO (MGWO) by adding the Levy distribution function to enhance the movements of alpha, beta, and delta wolves. We also provide GA (Genetic Algorithm) as a comparative algorithm. The fitness value of MGWO is 0.8498, surpassing GWO (0.8373) and GA (0.8492). Evaluation results indicate that MGWO and GA yield similar and superior accuracy compared to GWO. The proposed method outperforms existing ones. Further research is needed to evaluate the impact of varying the number of wolves on optimization performance and classification accuracy.","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-17"},"PeriodicalIF":1.7,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143411306","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

EEG-based real-time BCI system using drones for attention visualization. 基于脑电图的实时脑机接口系统，利用无人机进行注意力可视化。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-13 DOI: 10.1080/10255842.2025.2459272

Ran Zhang, Linfeng Sui, Chengyuan Shen, Lichuan Xu, Jianting Cao

引用次数: 0

Stability, Hopf bifurcation and control of a fractional order delay cervical cancer model with HPV infection. HPV感染的分数阶迟发性宫颈癌模型的稳定性、Hopf分岔和控制。

IF 1.7 4区医学

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-02-08 DOI: 10.1080/10255842.2025.2457601

Ruiqing Shi, Chenning Zhao

引用次数: 0