Xiangqian Zuo, Min Li, Xinjie Feng, Xinchen Yu, Jing Jiang
{"title":"Improving SpO<sub>2</sub> 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":"https://doi.org/10.1080/10255842.2025.2504160","url":null,"abstract":"<p><p>Accurate and continuous monitoring of oxygen saturation (SpO<sub>2</sub>) is critical for managing respiratory disorders. This study investigates the influence of varying respiratory intensities on SpO<sub>2</sub> estimation and proposes an optimized predictive model to enhance accuracy. Photoplethysmography (PPG) signals were collected using a controlled laboratory simulator across SpO<sub>2</sub> 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 SpO<sub>2</sub> estimation in health monitoring applications.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-13"},"PeriodicalIF":1.7,"publicationDate":"2025-05-17","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}
{"title":"Second-order advantage to quantify uric acid and ascorbic acid in blood serum by β-cyclodextrin inclusion complexation.","authors":"Abdollah Yari, Saba Rashnoo, Mansoureh Yari","doi":"10.1080/10255842.2025.2505650","DOIUrl":"https://doi.org/10.1080/10255842.2025.2505650","url":null,"abstract":"<p><p>The complexes formed between β-cyclodextrin (β-CD) and uric acid (UA) as well as ascorbic acid (AA) were examined utilizing parallel factor analysis (PFA) as a second-order calibration method (SOCM) for their quantification in blood serum samples. The second-order data were derived from the variations in spectral absorption changes associated with the β-CD complex signals. A three-dimensional dataset was created by stacking the data along the third dimension, which was analyzed by SOCM for determination of UA and AA. Validation of the method was achieved through comparison with HPLC. The findings indicated that the PFA method exhibited remarkable predictive capabilities. Figures of merit were calculated to highlight its potential as a viable alternative for the quantification of UA and AA, even in the presence of unforeseen or untemplated interferents, without necessitating any sample pretreatment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.7,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081718","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":"Exploring the impact of simulated labral states on shoulder muscle activation during isometric and functional tasks.","authors":"Fergus T H Lam, Clark R Dickerson","doi":"10.1080/10255842.2025.2503494","DOIUrl":"https://doi.org/10.1080/10255842.2025.2503494","url":null,"abstract":"<p><p>Glenohumeral joint stability requires contributions from shoulder muscular action and the glenoid labrum. This study investigated potential compensatory muscle strategies accompanying labral compromises by utilizing a customized mathematical biomechanical shoulder model. To illustrate potential shoulder muscular responses, various isometric and functional movement tasks were simulated under various labral statuses including aged, pathological, and surgically altered. Results emphasized the anisotropic compromises due to influences of aging and damage, along with the effectiveness of different surgical techniques to restore stability. These insights provide evidence to promote secondary injury prevention and refine labral management considerations relative to fundamental mechanistic bases for functional capacity.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-12"},"PeriodicalIF":1.7,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081688","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 frontiers of intelligent health services: cardiovascular disease prediction using novel machine learning methods and metaheuristic algorithm.","authors":"Fande Kong, Zhengyi Song, Qijia Liu","doi":"10.1080/10255842.2025.2502823","DOIUrl":"https://doi.org/10.1080/10255842.2025.2502823","url":null,"abstract":"<p><p>Cardiovascular disease (CVD) significantly impacts global mortality and aging. Effective risk assessment relies on models like Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA), which consider genetic, lifestyle, medical, and demographic factors. These models improve significantly when combined with optimization techniques like the Golf Optimization Algorithm (GOA) and Leader Harris Hawk's Optimization (LHHO), leading to more accurate predictions and better early intervention. According to empirical investigation, the LDGO model, obtained by integrating the LDA model with the GOA optimizer, is the most productive model, with accuracy values of 0.948 in the training phase and 0.946 in the test phase. According to empirical investigation, the LDGO model, obtained by integrating the LDA model with the GOA optimizer, is the most productive model, with accuracy values of 0.948 in the training phase and 0.946 in the test phase.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-19"},"PeriodicalIF":1.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059819","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":"Identification of dysregulated competitive endogenous RNA network driven by copy number variation in colon adenocarcinoma.","authors":"Qingliang Lin, Haiyu Liu, Qian Xu","doi":"10.1080/10255842.2025.2498718","DOIUrl":"https://doi.org/10.1080/10255842.2025.2498718","url":null,"abstract":"<p><p>Competitive endogenous RNA (ceRNA) network modulation plays a crucial role in pathogenesis of colon adenocarcinoma (COAD). This study analyzed The Cancer Genome Atlas(TCGA) data to identify 151 copy number variation (CNV)-driven lncRNAs in COAD, constructing a ceRNA network (6 lncRNAs-14 miRNAs-68 mRNAs). Functional enrichment revealed their roles in muscle system processes , blood vessel development and extracellular matrix organization. Survival analysis linked LINC00941 amplification to poor prognosis. Two CNV-driven lncRNA-targeting drugs were identified, offering insights into COAD mechanisms and potential biomarkers.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-12"},"PeriodicalIF":1.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058952","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":"A novel approach for ECG signal classification using sliding Euclidean quantization and bitwise pattern encoding.","authors":"Hazret Tekin","doi":"10.1080/10255842.2025.2501634","DOIUrl":"https://doi.org/10.1080/10255842.2025.2501634","url":null,"abstract":"<p><p>This study aims to introduce a novel, computationally lightweight feature extraction technique called Sliding Euclidean Pattern Quantization (SEPQ), which encodes local morphological patterns of ECG signals using Euclidean distance-based binary representations within sliding windows. The proposed SEPQ method was evaluated using two ECG datasets. The first dataset contained three labeled classes (CHF, ARR, and NSR), while the second included four classes (ventricular beats (VB), supraventricular beats (SVB), fusion beats (FB), and NSR). Extracted features were classified using several machine learning models, with LightGBM achieving the highest performance-over 99% accuracy on the first dataset and above 93% on the second. A convolutional neural network (CNN) model was also employed for comparative analysis, both on raw data and in a hybrid configuration with SEPQ, yielding moderate yet noteworthy performance. Experimental results confirm that SEPQ offers a robust, interpretable, and highly accurate solution for ECG signal classification.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-25"},"PeriodicalIF":1.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144031200","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 changes of upper airway flow in adolescents with maxillary cleft before and after bone grafting and orthodontic treatment: a CFD simulation study.","authors":"Zhichen Yang, Mingqian Mao, Qingyi Li, Xiaoyu Ni","doi":"10.1080/10255842.2025.2503469","DOIUrl":"https://doi.org/10.1080/10255842.2025.2503469","url":null,"abstract":"<p><p>This study used CFD to analyze upper airway airflow in a 14-year-old girl with a unilateral incomplete maxillary cleft across three stages: before surgery, after bone grafting, and after orthodontic treatment. Results revealed that the maxillary cleft affected the airway volume. Post-surgery and orthodontics, airway cross-sectional areas changed and turbulence in nasopharynx/oropharynx reduced; One year post-orthodontics, nasal airflow velocity normalized (5.032 m/s vs. healthy adolescents' 5.024 m/s); the shear stress distribution improved, and total pressure drop from the nostrils to the pharynx was 20.64 Pa, close to healthy adolescents' 20.69 Pa. These findings indicate that respiratory function normalized after treatment.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-14"},"PeriodicalIF":1.7,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144025458","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}
Jiaju Zhu, Zijun Ye, Zhong Zhang, Junyi Liu, Syed Luqman Ali
{"title":"AI-Integrated 3D imaging and modelling for hip morphology assessment in athletes.","authors":"Jiaju Zhu, Zijun Ye, Zhong Zhang, Junyi Liu, Syed Luqman Ali","doi":"10.1080/10255842.2025.2502828","DOIUrl":"https://doi.org/10.1080/10255842.2025.2502828","url":null,"abstract":"<p><p>Hip injuries are a prevalent concern among athletes, often resulting in significant declines in performance and overall quality of life. Conventional treatment modalities for hip morphological abnormalities come with inherent limitations, necessitating a deeper exploration of innovative approaches to address these challenges. This research aims to investigate the potential of 3D technology in reducing hip morphology and enhancing structural integrity among athletes, thereby offering novel solutions to mitigate the impact of hip injuries within the athletic community. Utilizing advanced imaging techniques and state-of-the-art 3D mimics software and AI HIP, this study endeavors to generate precise 3D models of athletes' hip structures. These models serve as the foundation for the fabrication of customized implants or orthotics using biocompatible materials, meticulously tailored to meet the unique anatomical needs of individual athletes. The results of this study demonstrate the effectiveness of 3D technology in reducing hip morphology and enhancing structural integrity among athletes. Through the utilization of advanced imaging techniques, AI HIP and 3D mimics software, precise 3D models of athletes' hip structures were successfully generated. Subsequently, customized implants or orthotics fabricated using biocompatible materials were shown to be tailored to individual athletes' anatomical needs. This study highlights the transformative potential of 3D in revolutionizing hip injury prevention and treatment among athletes. Through advanced imaging and innovative software, customized solutions can address hip abnormalities, enhancing performance and quality of life. This research opens avenues for further exploration of 3D technology in sports medicine, providing tailored interventions to improve clinical outcomes for athletes.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-11"},"PeriodicalIF":1.7,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044111","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 effect of screw configuration of tubular bone plate on the biomechanics of oblique lateral malleolar fractures.","authors":"Tianqi Wang, Xinyuan Shi, Shuanzhu Wang, Yongzhi Gong, Haiquan Feng","doi":"10.1080/10255842.2025.2502815","DOIUrl":"https://doi.org/10.1080/10255842.2025.2502815","url":null,"abstract":"<p><p>To investigate the biomechanical effects of varying physiological conditions and tubular plate screw configurations on the stability of lateral malleolar fractures. In this paper, different models were constructed for finite element analysis based on Computed Tomography (CT) data. The results showed that the biomechanical characteristics of the fixation method combining a tubular plate with 6 screws were optimal. The fixation methods showed significantly higher stability in dorsiflexion positions compared to neutral and plantarflexion positions. These findings provide valuable theoretical guidance for clinical selection of fixation methods for lateral malleolar fractures and rehabilitation training.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-14"},"PeriodicalIF":1.7,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042050","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 analysis of neck sports injury based on a whole cervical spine model with muscles.","authors":"Ying Han, Bing Zhang, Feng Zheng, Zhi Li, Huiping Gong, Shize Pei, Guangfei Song, Shuqi Zhang","doi":"10.1080/10255842.2025.2499624","DOIUrl":"https://doi.org/10.1080/10255842.2025.2499624","url":null,"abstract":"<p><p>Cervical atlantoaxial subluxation injuries, often resulting from high-intensity external forces or improper posture during high-speed, rotational sports, pose significant risks to athletes' health and careers. This study aims to investigate the biomechanical effects of atlantoaxial subluxation on the cervical spine. Models representing Model 1 (healthy bone model), Model 2 (healthy muscle model), and atlantoaxial subluxation diseased model were developed using CT and MRI data. A 30 N gravitational force and a 1.5 Nm torque were applied to the C0 node. The study simulated changes in range of motion (ROM), disc stress, and muscle stress under six motion states-flexion-extension, lateral flexion, and axial rotation-to evaluate the post-injury movement limitations of the cervical spine. The validity and consistency of this study with cadaver data from the literature were verified through range of motion (ROM) comparison and Bland-Altman analysis. Compared to the healthy model, the diseased model showed a reduction in ROM, with a 10°-30° decrease in C0-C1 ROM across all six movements. The distribution of stress shifted from the bones to the damaged atlantoaxial joint and muscles, while the stress on the intervertebral discs decreased. This study, through the establishment of a finite element model of the cervical spine, reveals the biomechanical effects of atlantoaxial subluxation on the cervical spine, including reduced ROM, altered stress distribution, and increased muscle load. The findings provide a theoretical basis for the prevention of sports injuries, the development of rehabilitation programs, and personalized treatments, emphasizing the importance of muscle recovery and proper management of movement loads. Future work will further validate and expand the application by integrating clinical data.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-14"},"PeriodicalIF":1.7,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042777","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}