Medical Engineering & Physics最新文献

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Fractional calculus integration for improved ECG modeling: A McSharry model expansion 改进心电图建模的分数微积分整合:麦克沙利模型扩展
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-10-01 DOI: 10.1016/j.medengphy.2024.104237
{"title":"Fractional calculus integration for improved ECG modeling: A McSharry model expansion","authors":"","doi":"10.1016/j.medengphy.2024.104237","DOIUrl":"10.1016/j.medengphy.2024.104237","url":null,"abstract":"<div><div>This study introduces a new method for modeling electrocardiogram (ECG)<span><span><sup>1</sup></span></span> waveforms using Fractional Differential Equations (FDEs). By incorporating fractional calculus into the well-established McSharry model, the proposed approach achieves improved representation and high precision for a wide range of ECG waveforms. The research focuses on the impact of integrating fractional derivatives into Integer Differential Equation (IDE) models, enhancing the fidelity of ECG signal modeling.</div><div>To optimize the model's unknown parameters, a combination of the Predictor-Corrector method for solving FDEs and genetic algorithms for optimization is utilized. The effectiveness of the fractional-order model is assessed through distortion metrics, providing a comprehensive evaluation of the modeling quality.</div><div>Comparisons show that the fractional-order model outperforms the traditional McSharry IDE model in modeling quality and compression efficiency. It improves modeling quality by 48.40 % in MSE and compression efficiency by 23.18 % when applied on five beat types of MIT/BIH arrhythmia database. The fractional-order model demonstrates enhanced flexibility while preserving essential McSharry model characteristics, with fractional orders (α) ranging from 0.96 to 0.99 across five beat types.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359020","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
Development of a closed-loop controller for functional electrical stimulation therapy plus visual feedback balance training for standing balance training 开发用于站立平衡训练的功能性电刺激疗法加视觉反馈平衡训练闭环控制器
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-09-16 DOI: 10.1016/j.medengphy.2024.104238
{"title":"Development of a closed-loop controller for functional electrical stimulation therapy plus visual feedback balance training for standing balance training","authors":"","doi":"10.1016/j.medengphy.2024.104238","DOIUrl":"10.1016/j.medengphy.2024.104238","url":null,"abstract":"<div><div>Individuals with incomplete spinal cord injury (iSCI) demonstrate impaired upright balance, resulting in increased fall risk. Task-specific visual feedback balance training (VFBT) has previously been shown to improve upright balance. In addition, therapies using functional electrical stimulation (FES) have been shown to improve various motor functions. Combining VFBT with FES therapy (FES+VFBT) may synergistically improve balance control for those with iSCI. Here we developed the FES+VFBT system that delivered physiologically relevant electrical stimulations to soleus (SOL) and tibialis anterior (TA) muscles during VFBT. Ten young able-bodied individuals participated. Kinematic, kinetic, SOL and TA electromyography (EMG) data during quiet standing and limits-of-stability test were used to design the controller for the FES+VFBT system. To evaluate the performance of the designed controller, the controller outputs, which represented stimulation intensities, were compared with the recorded SOL and TA EMG during the four tasks associated with VFBT (i.e., bullseye, hunting, colour-matching, and ellipse tasks). Except for the bullseye task, the designed controller outputs were highly correlated with the recorded EMG, suggesting that the controller could generate electrical stimulations in a physiological manner. We expect that the addition of FES therapy to VFBT could contribute to improving standing balance for individuals with iSCI.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319182","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
New training simulator for lumbar puncture base on magnetorheological 基于磁流变技术的新型腰椎穿刺培训模拟器
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-09-16 DOI: 10.1016/j.medengphy.2024.104240
{"title":"New training simulator for lumbar puncture base on magnetorheological","authors":"","doi":"10.1016/j.medengphy.2024.104240","DOIUrl":"10.1016/j.medengphy.2024.104240","url":null,"abstract":"<div><p>In response to the difficulties in accurately reproducing the resistance drop generated by puncturing key tissue layers with a needle and the poor experience in existing simulators, based on the continuous controllability and rapid response of magnetorheological fluid under the influence of a magnetic field, this paper proposes a lumbar puncture training simulator(LPTS) that can accurately simulate the puncture feedback force within tissues such as the skin, subcutaneous fat, and supraspinous ligament throughout the entire process. By using a dual rod structure and reasonably arranging the damping channel gap, the influence of mechanical friction and zero-field damping force on the feedback force during tissue progression is minimized. This paper introduces the acquisition and modeling analysis of raw data, and based on this, the design, simulation, and mechanical testing of the simulator are carried out. Finally, a performance testing platform for the simulator is established to evaluate its tracking performance of the expected puncture strength and the reproducibility of the puncture sensation. The results show that the experimental puncture strength deviates from the expected puncture strength by 0.35 N to 0.61 N in the crucial steps of breaking through the supraspinous ligament, interspinous ligament, ligamentum flavum, and dura mater, with a relative error below 10 %.</p></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271529","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
Effective cardiac disease classification using FS-XGB and GWO approach 使用 FS-XGB 和 GWO 方法进行有效的心脏病分类
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-09-16 DOI: 10.1016/j.medengphy.2024.104239
{"title":"Effective cardiac disease classification using FS-XGB and GWO approach","authors":"","doi":"10.1016/j.medengphy.2024.104239","DOIUrl":"10.1016/j.medengphy.2024.104239","url":null,"abstract":"<div><div>Globally, cardiovascular diseases (CVDs) are a leading cause of death; however, their impact can be greatly mitigated by early detection and treatment. Machine learning (ML)-based algorithms that use features extracted from electrocardiogram (ECG) signals are known to provide good accuracy in predicting various CVDs. Thus, in order to build more effective and efficient machine learning models, it is necessary to extract significant features from ECGs. In order to reduce overfitting and training overhead and improve model performance even more, feature selection or dimensionality reduction is essential. In this regard, the current work uses the grey wolf optimization (GWO) technique to pick a reduced feature set after extracting pertinent characteristics from ECG signals in order to identify five different types of CVDs. On the basis of the feature relevance of the chosen features, a feature-specific extreme gradient boosting approach (FS-XGB) is also suggested. The suggested FS-XGB classifier's performance is contrasted with that of other machine learning techniques, including gradient boosting method, AdaBoost, naïve Bayes, and support vector machine (SVM). The proposed methodology achieves a maximum classification accuracy, precision, recall, F1-score, and AUC value of 98.8 %, 100 %, 99.8 %, 100 %, and 98.8 %, respectively, with just seven optimal features, significantly fewer than the number of features used in existing works.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327168","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
Crack propagation in TPMS scaffolds under monotonic axial load: Effect of morphology 单调轴向载荷下 TPMS 支架的裂纹扩展:形态的影响
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-09-03 DOI: 10.1016/j.medengphy.2024.104235
{"title":"Crack propagation in TPMS scaffolds under monotonic axial load: Effect of morphology","authors":"","doi":"10.1016/j.medengphy.2024.104235","DOIUrl":"10.1016/j.medengphy.2024.104235","url":null,"abstract":"<div><p>In this paper, the mechanical behaviour and failure of porous additively manufactured (AM) polylactide (PLA) scaffolds based on the triply periodic minimal surfaces (TPMS) is investigated using numerical calculations of their unit cells and representative volumes. The strain-amplification factor is chosen as the main parameter, and the most critical locations for failure of different types of scaffold structures are evaluated. The results obtained are presented in comparison with a multiple-crack-growth algorithm using the extended finite element method (XFEM), underpinned by the experimentally obtained fracture properties of PLA. The effect of morphology of TPMS structures on the pre-critical, critical and post-critical behaviours of scaffolds under monotonic loading regimes is assessed. The results provide an understanding of the fracture behaviour and main risk points for crack initiation in structures of AM-PLA scaffolds based on typical commonly used types of TPMS, as well as the influence of structure type and external load on this behaviour.</p></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149459","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
Active constraint control for the surgical robotic platform with concentric connector joints 带同心连接器关节的手术机器人平台的主动约束控制
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-09-02 DOI: 10.1016/j.medengphy.2024.104236
{"title":"Active constraint control for the surgical robotic platform with concentric connector joints","authors":"","doi":"10.1016/j.medengphy.2024.104236","DOIUrl":"10.1016/j.medengphy.2024.104236","url":null,"abstract":"<div><p>Robotic minimally invasive surgery (MIS) has changed numerous surgical techniques in the past few years and enhanced their results. Haptic feedback is integrated into robotic surgical systems to restore the surgeon's perception of forces in response to interaction with objects in the surgical environment. The ideal exact emulation of the robot's interaction with its physical environment in free space is a very challenging problem to solve completely. Previously, we introduced the surgical robotic platform (SRP) with a novel concentric connector joint (CCJ). This study aims to develop a haptic control system that integrates an active constraint controller into a surgical robot platform. We have successfully established haptic feedback control for the surgical robot using constraint control and inverse kinematic relationships integrated into the overall positioning structure. A preliminary feasibility study, modelling, and simulation were presented.</p></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1350453324001371/pdfft?md5=a624afbf4e8e10bc7ca925b318172c11&pid=1-s2.0-S1350453324001371-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Computer simulation of low-power and long-duration bipolar radiofrequency ablation under various baseline impedances 计算机模拟各种基线阻抗下的低功率和长时间双极射频消融术
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-09-01 DOI: 10.1016/j.medengphy.2024.104226
{"title":"Computer simulation of low-power and long-duration bipolar radiofrequency ablation under various baseline impedances","authors":"","doi":"10.1016/j.medengphy.2024.104226","DOIUrl":"10.1016/j.medengphy.2024.104226","url":null,"abstract":"<div><p>Compared to traditional unipolar radiofrequency ablation (RFA), bipolar RFA offers advantages such as more precise heat transfer and higher ablation efficiency. Clinically, myocardial baseline impedance (BI) is one of the important factors affecting the effectiveness of ablation. We aim at finding suitable ablation protocols and coping strategies by analyzing the ablation effects and myocardial impedance changes of bipolar RFA under different BIs. In this research, a three-dimensional local myocardial computer model was constructed for bipolar RFA simulation, and <em>in vitro</em> experimental data were used to validate accuracy. Four fixed low-power levels (20 W, 25 W, 30 W, and 35 W) and six myocardial BIs (91.02 Ω, 99.83 Ω, 111.03 Ω, 119.77 Ω, 130.03 Ω, and 135.45 Ω) were set as initial conditions, with an ablation duration of 120-s. In the context of low-power and long-duration (LPLD) ablation, the maximum TID (TID<sub>M</sub>) decreased by 21–32 Ω, depending on the BI. In cases where steam pop did not occur, TID<sub>M</sub> increased with the increase in power. For the same power, there was no significant difference in TID<sub>M</sub> for the range of BIs. In cases where steam pop occurred, for every 1 Ω increase in BI, TID<sub>M</sub> increased by 0.34–0.41 Ω. The simulation results also showed that using a higher power resulted in a smaller decrease in TID<sub>M</sub>. This study provided appropriate ablation times and impedance decrease ranges for bipolar LPLD RFA. The combination of 25 W for 120-s offered optimal performance when considering effectiveness and safety simultaneously.</p></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","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":"142096555","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
Real-time identification of noise type contaminated in surface electromyogram signals using efficient statistical features 利用高效统计特征实时识别表面肌电信号中受污染的噪声类型
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-09-01 DOI: 10.1016/j.medengphy.2024.104232
{"title":"Real-time identification of noise type contaminated in surface electromyogram signals using efficient statistical features","authors":"","doi":"10.1016/j.medengphy.2024.104232","DOIUrl":"10.1016/j.medengphy.2024.104232","url":null,"abstract":"<div><p>Different types of noise contaminating the surface electromyogram (EMG) signal may degrade the recognition performance. For noise removal, the type of noise has to first be identified. In this paper, we propose a real-time efficient system for identifying a clean EMG signal and noisy EMG signals contaminated with any one of the following three types of noise: electrocardiogram interference, spike noise, and power line interference. Two statistical descriptors, kurtosis and skewness, are used as input features for the cascading quadratic discriminant analysis classifier. An efficient simplification of kurtosis and skewness calculations that can reduce computation time and memory storage is proposed. The experimental results from the real-time system based on an ATmega 2560 microcontroller demonstrate that the kurtosis and skewness values show root mean square errors between the traditional and proposed efficient techniques of 0.08 and 0.09, respectively. The identification accuracy with five-fold cross-validation resulting from the quadratic discriminant analysis classifier is 96.00%.</p></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","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":"142096556","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 the milling response of an artificial temporal bone developed for otologic surgery in comparison with human cadaveric samples 用于耳科手术的人工颞骨的铣削反应分析与人体样本的比较
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-09-01 DOI: 10.1016/j.medengphy.2024.104220
{"title":"Analysis of the milling response of an artificial temporal bone developed for otologic surgery in comparison with human cadaveric samples","authors":"","doi":"10.1016/j.medengphy.2024.104220","DOIUrl":"10.1016/j.medengphy.2024.104220","url":null,"abstract":"<div><p>Temporal-bone milling is a delicate process commonly performed during otologic surgery to gain access to the middle and inner ear structures. Because of the numerous at-risk structures of this anatomic area, extensive surgeon training is required. Artificial temporal bones offer an interesting alternative to cadaveric training. However, the evaluation of such simulators has not been systematic, with an absence of objective validation of their milling response, especially in a surgical context.</p><p>By measuring the milling forces obtained during the classical steps of otologic surgery on six 3D-printed and three cadaveric temporal bones, this work aims at evaluating the ability of the OTOtwin® synthetic temporal bone to reproduce human bone behavior.</p><p>A better repeatability was obtained for artificial bones than for cadaveric ones. However, the level of forces recorded during artificial bone milling was close to the one measured with cadaveric samples. The effects of both surgical phase and irrigation on milling force levels were also quantified. The experiments conducted in this study confirmed the suitability of OTOtwin® temporal bone model for both otologic surgery training and research purposes. Valuable insights were also gained from this study regarding the understanding of the otologic milling process.</p></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1350453324001218/pdfft?md5=2deb85e5c06eb5586c9156c86dde09ac&pid=1-s2.0-S1350453324001218-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142096838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An optimal fast fractal method for breast masses diagnosis using machine learning 利用机器学习诊断乳腺肿块的最佳快速分形法
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2024-08-23 DOI: 10.1016/j.medengphy.2024.104234
{"title":"An optimal fast fractal method for breast masses diagnosis using machine learning","authors":"","doi":"10.1016/j.medengphy.2024.104234","DOIUrl":"10.1016/j.medengphy.2024.104234","url":null,"abstract":"<div><p>This article introduces a fast fractal method for classifying breast cancerous lesions in mammography. While fractal methods are valuable for extracting information, they often come with a high computational load and time consumption. This paper demonstrates that extracting optimal fractal information and focusing only on valuable information for classification not only improves computation speed and reduces process load but also enhances classification accuracy. To achieve this, we define an objective function based on accurate classification of benign and malignant masses to identify the best scale. Instead of extracting information from all nine scales, we extract and employ information solely from the best scale for classification. We validate the obtained scales using three classifiers: Support Vector Machine (SVM), Genetic Algorithm (GA), and Deep Learning (DL), which confirm the effectiveness of the proposed method. Comparative analysis with other studies reveals improved classification performance with the presented method.</p></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169292","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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