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Parametric extraction of spatiotemporal gait features using wireless foot sensor module. 基于无线足部传感器模块的时空步态特征参数提取。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-20 DOI: 10.1080/10255842.2025.2555398
Ratan Das, Preeti Khera, Neelesh Kumar
{"title":"Parametric extraction of spatiotemporal gait features using wireless foot sensor module.","authors":"Ratan Das, Preeti Khera, Neelesh Kumar","doi":"10.1080/10255842.2025.2555398","DOIUrl":"https://doi.org/10.1080/10255842.2025.2555398","url":null,"abstract":"<p><p>This work reports the extraction and evaluation of clinically relevant spatiotemporal and statistical gait parameters from developed wireless foot sensor module as recommended by the Biomathics and Canadian Gait Consortium Initiative. Further, normalization of extracted spatiotemporal gait parameters reduces inter-subject physiological variations. To validate their performance towards gait analysis, a machine learning framework is implemented for personnel identification. The study results suggest a promising potential for utilizing the extracted feature-set for the automatic multiclass gait disorders classification. Developed module is a low cost, easy-to-use device, and has potential application for setups with limited access to state of art gait analysis laboratory.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103111","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
ANOVA and linear regression feature selection for GRU-based foot position prediction in powered prostheses. 基于gru的动力假肢足部位置预测的方差分析和线性回归特征选择。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-19 DOI: 10.1080/10255842.2025.2558026
Hamza Al Kouzbary, Mouaz Al Kouzbary, Jingjing Liu, Taha Khamis, Nooranida Arifin, Hamam Mokayed, Noor Azuan Abu Osman
{"title":"ANOVA and linear regression feature selection for GRU-based foot position prediction in powered prostheses.","authors":"Hamza Al Kouzbary, Mouaz Al Kouzbary, Jingjing Liu, Taha Khamis, Nooranida Arifin, Hamam Mokayed, Noor Azuan Abu Osman","doi":"10.1080/10255842.2025.2558026","DOIUrl":"https://doi.org/10.1080/10255842.2025.2558026","url":null,"abstract":"<p><p>This study evaluates feature selection using ANOVA and Linear Regression to optimize GRU-based models for predicting foot position in powered prostheses across varied terrains. Kinematic data from ten healthy participants during walking, stair ascend/descend, and standing were processed in MATLAB. Selected features, compared with Recursive Feature Elimination, trained GRU networks on mixed datasets and were tested on independent subjects. Results showed ANOVA and regression efficiently selected features with reduced computation and comparable performance. The GRU achieved RMSE as low as 0.066 radians, demonstrating robust generalization. While promising, clinical validation on amputee subjects remains necessary.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-18"},"PeriodicalIF":1.6,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088004","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
Harnessing glycolysis- and cholesterol synthesis-related genes for prognostic modeling in lung adenocarcinoma. 利用糖酵解和胆固醇合成相关基因进行肺腺癌的预后建模。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-17 DOI: 10.1080/10255842.2025.2559045
Jiyun Wang, Tianwei Liu, Haiyang Li, Bofeng Hou, Yanan Zhao, Feng Kai, Haoyin Tian, Yang Li, Bengang Liu
{"title":"Harnessing glycolysis- and cholesterol synthesis-related genes for prognostic modeling in lung adenocarcinoma.","authors":"Jiyun Wang, Tianwei Liu, Haiyang Li, Bofeng Hou, Yanan Zhao, Feng Kai, Haoyin Tian, Yang Li, Bengang Liu","doi":"10.1080/10255842.2025.2559045","DOIUrl":"10.1080/10255842.2025.2559045","url":null,"abstract":"<p><p>This study aimed to construct a prognostic model for LUAD based on glycolysis- and cholesterol synthesis-related genes (GCSRGs). By performing regression analyses on expression profiles and clinical data from public databases, we established a robust risk stratification system. The results revealed significant survival differences between high- and low-risk groups, with the low-risk group exhibiting stronger immune cell infiltration and higher immune scores. Drug sensitivity analysis suggested that amonafide, AM-5992, and AZD-3147 may serve as potential therapeutic candidates. In conclusion, this model enables precise survival prediction and provides valuable insights for personalized immunotherapy and targeted treatment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076547","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
Why prefer all-suture anchor? A new comprehensive evaluation method. 为什么更喜欢全缝合锚？一种新的综合评价方法。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-17 DOI: 10.1080/10255842.2025.2558038
Xucan Lian, Yang Zhao, Yong Huan, Helin Xu, Fei Liu, Yu Li, Yiming Zhu, Chi Xiao
{"title":"Why prefer all-suture anchor? A new comprehensive evaluation method.","authors":"Xucan Lian, Yang Zhao, Yong Huan, Helin Xu, Fei Liu, Yu Li, Yiming Zhu, Chi Xiao","doi":"10.1080/10255842.2025.2558038","DOIUrl":"https://doi.org/10.1080/10255842.2025.2558038","url":null,"abstract":"<p><p>All-suture anchor (ASA) is an emerging suture anchor used to fix soft tissue to bone. Composed entirely of textile material, ASA has the advantage of a small size and less damage to the bone. The purpose of this study was to analyze the mechanism of the pullout process of ASA from bone tissue and to quantitatively compare the extent of damage to cancellous bone by ASA and conventional suture anchors. First, pullout experiments were conducted on ASA in two different synthetic bone blocks to verify the effect of bone density on ASA performance, and the extraction process of ASA in the bone was simulated. In addition, a model of the proximal humerus was created, and different suture anchors were implanted. The damage to cancellous bone caused by the suture anchors was calculated and compared under the same force of 0-150 N and cyclic force of 0-100 N. The results showed that when the force was 150 N, the volume of plastic strain after implantation of conventional suture anchors was 26% larger than that after ASA implantation. The maximum plastic strain after implantation of conventional suture anchors was 1.5 times greater than that after implantation of ASA. Finally, a comprehensive evaluation method of suture anchor performance based on overall stiffness was proposed. According to this evaluation method, the performance of ASA is superior to that of conventional suture anchors.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-14"},"PeriodicalIF":1.6,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076550","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
A deep neuro-fuzzy framework for speech emotion recognition. 语音情感识别的深度神经模糊框架。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-17 DOI: 10.1080/10255842.2025.2559060
Qingqing Zhang
{"title":"A deep neuro-fuzzy framework for speech emotion recognition.","authors":"Qingqing Zhang","doi":"10.1080/10255842.2025.2559060","DOIUrl":"https://doi.org/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":"1-12"},"PeriodicalIF":1.6,"publicationDate":"2025-09-17","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}
引用次数: 0
Numerical simulation of a normalized time-fractional SUC epidemic model. 归一化时间分数型SUC流行病模型的数值模拟。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-16 DOI: 10.1080/10255842.2025.2556313
Chaeyoung Lee, Jyoti, Soobin Kwak, Yunjae Nam, Hyundong Kim, Junseok Kim
{"title":"Numerical simulation of a normalized time-fractional SUC epidemic model.","authors":"Chaeyoung Lee, Jyoti, Soobin Kwak, Yunjae Nam, Hyundong Kim, Junseok Kim","doi":"10.1080/10255842.2025.2556313","DOIUrl":"https://doi.org/10.1080/10255842.2025.2556313","url":null,"abstract":"<p><p>We develop a normalized time-fractional susceptible-unidentified infected-confirmed (SUC) epidemic model that incorporates memory effects through fractional calculus to capture non-local time interactions. Unlike integer-order models, this model reflects how past states influence present transmission. Numerical simulations show that smaller fractional orders accelerate the decline of susceptible individuals and produce faster but lower infection peaks, while larger orders yield slower, oscillatory declines and delayed peaks, indicating prolonged outbreaks. Moreover, the confirmation parameter critically shapes epidemic dynamics, as higher values reduce infection spread and lower peak levels of unidentified and confirmed cases, and this result highlights its role in controlling epidemic progression.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-9"},"PeriodicalIF":1.6,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145071037","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
A robust deep learning-driven framework for detecting Parkinson's disease using EEG. 基于脑电图的帕金森病检测的鲁棒深度学习驱动框架。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-10 DOI: 10.1080/10255842.2025.2556310
Prithwijit Mukherjee, Anisha Halder Roy
{"title":"A robust deep learning-driven framework for detecting Parkinson's disease using EEG.","authors":"Prithwijit Mukherjee, Anisha Halder Roy","doi":"10.1080/10255842.2025.2556310","DOIUrl":"https://doi.org/10.1080/10255842.2025.2556310","url":null,"abstract":"<p><p>Parkinson's disease (PD) is a neurodegenerative condition that impairs motor functions. Accurate and early diagnosis is essential for enhancing well-being and ensuring effective treatment. This study proposes a deep learning-based approach for PD detection using EEG signals. First, a channel attention module refines the EEG data. Then, wavelet scattering transform generates time-frequency maps from EEG. Subsequently, a GAN (Generative Adversarial Network) model is designed to generate more similar time-frequency maps of PD-affected patients as well as healthy control subjects. An efficient CNN-Transformer-based model is designed and trained using the augmented time-frequency map images, achieving 99.52% accuracy.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031151","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
Effect of diverticulum entrance diameter on sigmoid sinus hemodynamics: a CFD and PIV experimental validation study. 憩室入口直径对乙状窦血流动力学的影响：CFD和PIV实验验证研究。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-10 DOI: 10.1080/10255842.2025.2558048
Jincheng Liu, Suqin Huang, Zheng Hu, Feng Zhou, Xueran Ma, Bin Gao, Xiang Ding
{"title":"Effect of diverticulum entrance diameter on sigmoid sinus hemodynamics: a CFD and PIV experimental validation study.","authors":"Jincheng Liu, Suqin Huang, Zheng Hu, Feng Zhou, Xueran Ma, Bin Gao, Xiang Ding","doi":"10.1080/10255842.2025.2558048","DOIUrl":"https://doi.org/10.1080/10255842.2025.2558048","url":null,"abstract":"<p><p>Geometric changes in the sigmoid sinus diverticulum (SSD) can alter its hemodynamic - a primary factor contributing to pulsatile tinnitus (PT). However, not all SSD cases lead to clinical PT symptoms. This study aims to investigate the influence of the diameter of the diverticulum (EDD) on the hemodynamics of the sigmoid sinus in PT. We reconstructed CTA images from 26 PT patients. A statistical analysis of EDD, depth, and diverticulum angle, was conducted across these cases. Based on the geometric characteristics obtained, we established seven idealized models with varying EDDs and performed computational fluid dynamics simulations. Mass flow was set at the inlet, and the outlet was assigned zero pressure. We conducted Particle Image Velocimetry experiments verification. The SSD geometric models were 3D-printed using UV-curable resin material. As the EDD decreased from 11 mm to 9.65 mm, wall pressure within the SSD increased. However, further decreases in EDD from 9.65 mm to 8.3 mm resulted in a reduction in wall pressure (case1: 123.597 Pa vs. case2: 121.325 Pa vs. case3: 128.823 Pa vs. case4: 140.814 Pa vs. case5: 124.172 Pa vs. case6: 120.559 Pa vs. case7: 124.138 Pa). The pressure within the diverticulum first increased and then decreased, with the most intense vortex blood flow observed at an EDD of 9.65 mm. The EDD is a key factor influencing hemodynamic changes within the sigmoid sinus. The intermediate EDD induce more significant blood flow disturbances. This study provides theoretical insights for PT diagnosis and diverticulum morphology assessment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-13"},"PeriodicalIF":1.6,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031166","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
Multi-objective optimization of auxetic coronary stents based on finite element simulation and surrogate modeling. 基于有限元模拟和代理模型的冠脉辅助支架多目标优化。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-09 DOI: 10.1080/10255842.2025.2556003
Yanyan Wan, Xiaoyan Liu, Kuangrong Hao, Yicun Hua
{"title":"Multi-objective optimization of auxetic coronary stents based on finite element simulation and surrogate modeling.","authors":"Yanyan Wan, Xiaoyan Liu, Kuangrong Hao, Yicun Hua","doi":"10.1080/10255842.2025.2556003","DOIUrl":"https://doi.org/10.1080/10255842.2025.2556003","url":null,"abstract":"<p><p>High cost of clinical trials hinders further enhancement of comprehensive mechanical properties of bioresorbable scaffolds (BRS). Therefore, a multi-objective optimization method combining surrogate modeling and finite element simulation is proposed, based on the evaluation of stents with various auxetic structures and materials. The results demonstrated that re-entrant hexagon stent made of PLA (PLA-RH stent) was a more ideal candidate, with superior radial recoil and force. Following optimization, PLA-RH stent decreased bending stiffness by 60.12%, without compromising radial performances. This method enables more precise and efficient optimization and the proposed auxetic structure introduces innovative concepts for future design of stents.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-16"},"PeriodicalIF":1.6,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024664","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
Finite element simulation of lung parenchyma deformation based on porcine data. 基于猪肺实质变形的有限元模拟。
IF 1.6 4区 医学
Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-09-08 DOI: 10.1080/10255842.2025.2556314
Olusola Olabanjo, Edwin Aigbokhan, Emmanuel A Akor, David W Kaczka, Mingchao Cai
{"title":"Finite element simulation of lung parenchyma deformation based on porcine data.","authors":"Olusola Olabanjo, Edwin Aigbokhan, Emmanuel A Akor, David W Kaczka, Mingchao Cai","doi":"10.1080/10255842.2025.2556314","DOIUrl":"https://doi.org/10.1080/10255842.2025.2556314","url":null,"abstract":"<p><p>Accurate modeling of lung parenchymal biomechanics is critical for understanding respiratory function and improving diagnoses. Traditional hyperelastic models capture tissue deformation but miss essential physiological interactions. This study evaluates an experimentally informed poroelastic model (Birzle's formulation) against hyperelastic-only models within a finite element framework. Using porcine lung geometry and CT-based boundary conditions, we simulate realistic breathing cycles and compare deformation, stress, strain, and volume change. Results show that poroelasticity better reproduces pressure-volume behavior and ventilation distribution, underscoring the importance of fluid-influenced mechanics for robust, clinically relevant lung modeling.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-21"},"PeriodicalIF":1.6,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145016558","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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