Biomedical engineering advances最新文献_第5页

Non-newtonian fluid lens for wearable planewave ultrasound imaging system 用于可穿戴平面波超声成像系统的非牛顿流体透镜

Biomedical engineering advances

Pub Date : 2025-04-30 DOI: 10.1016/j.bea.2025.100173

Pisharody Harikrishnan Gopalakrishnan , Mahesh Raveendranatha Panicker

Ultrafast ultrasound imaging using planewaves has been found significant for many applications in the recent past. This work proposes a novel method for converging planewaves for wearable ultrafast ultrasound imaging systems using a concave non-Newtonian fluid lens. Due to the concave shape of the designed non-Newtonian fluid lens, ultrasound wave convergence on transmit can be achieved, which could enable deeper imaging with planewaves. Further, by employing multi-angle planewaves, a high-resolution high frame rate ultrasound imaging system can be developed. The proposed passive ultrasound converging lens demonstrated satisfactory performance for in vitro imaging (wire phantoms and steel screw phantoms) and in vivo imaging (human carotid artery and upper arm). The in vitro and in vivo results showed an improvement of 47.31 % of lateral resolution, 44.57 % of intensity with significant contrast to noise ratio improvement greater than 3 dB and observable drop in acoustic clutter levels at 7.6 MHz centre frequency. The proposed non-Newtonian fluid lens demonstrated 18 % of dehydration rate, suitable for continuous long period ultrasound imaging. The utility of the proposed approach was further confirmed by observing an increase in wave intensity with decreased radius of curvature values of the lens used in the system, which is of significance in focused ultrasound applications. The passive ultrasound non-Newtonian converging lens with the adjustable focusing capability, ergonomic design, and low cost of deployment without significantly altering the existing setup would open doors for upgradation of traditional systems to a wide range of applications in high frame-rate US imaging system.

近年来，利用平面波的超快超声成像在许多方面都有重要的应用。本文提出了一种利用凹形非牛顿流体透镜将平面波汇聚到可穿戴超快超声成像系统中的新方法。由于所设计的非牛顿流体透镜的凹形，可以实现超声波在传输过程中的会聚，从而实现更深入的平面波成像。此外，利用多角度平面波可以开发出高分辨率、高帧率的超声成像系统。所提出的被动超声会聚透镜在体外成像（钢丝影和钢螺钉影）和体内成像（人颈动脉和上臂）方面表现出令人满意的性能。体外和体内实验结果表明，横向分辨率提高了47.31%，强度提高了44.57%，噪声比提高了3 dB以上，中心频率为7.6 MHz时的声杂波水平明显下降。所提出的非牛顿流体透镜具有18%的脱水率，适合连续长周期超声成像。通过观察到系统中使用的透镜曲率半径值减小，波强度增加，进一步证实了所提出方法的实用性，这在聚焦超声应用中具有重要意义。无源超声非牛顿会聚透镜具有可调焦能力，符合人体工程学设计，部署成本低，无需显著改变现有设置，将为传统系统升级到高帧率美国成像系统的广泛应用打开大门。

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引用次数: 0

Development of Architected Materials for External Breast Prostheses 乳房外部假体结构材料的研究进展

Biomedical engineering advances

Pub Date : 2025-04-27 DOI: 10.1016/j.bea.2025.100168

Sibo Zhang , Jennifer Xue , Xiao Yu , Yunlan Zhang

Breast cancer remains the most prevalent cancer among women, with mastectomy often performed as a standard treatment or preventive measure. Post-surgery, breast prostheses are essential for restoring appearance, balance, and confidence. However, conventional silicone external prostheses often fall short in addressing key challenges such as comfort, weight, heat management, and personalization. This study presents a new design framework for External Breast Prostheses (EBPs) utilizing gyroid-based architected materials fabricated through additive manufacturing. By mimicking the density, thermal conductivity, and mechanical properties of natural breast tissue, the proposed design achieves advancements in realism and functionality. Tailored gyroid unit cell geometries enable precise control over weight distribution, thermal regulation, and stiffness, aligning with the properties of natural tissue. Guided by numerical simulations and validated through experimental testing, this approach produces a lightweight, breathable, and realistic prosthesis that can enhance comfort and functionality. This approach highlights the transformative potential of advanced imaging and 3D printing technologies in creating customizable, high-performance solutions to improve the quality of life for breast cancer patients.

乳腺癌仍然是女性中最常见的癌症，乳房切除术通常作为标准治疗或预防措施。术后，乳房假体对于恢复外观、平衡和自信是必不可少的。然而，传统的硅胶体外假体在解决诸如舒适性、重量、热管理和个性化等关键挑战方面往往存在不足。本研究提出了一种利用基于陀螺仪的建筑材料通过增材制造制造的外部乳房假体（ebp）的新设计框架。通过模仿自然乳房组织的密度、导热性和机械性能，提出的设计在现实主义和功能上取得了进步。量身定制的陀螺仪单元格几何形状能够精确控制重量分布、热调节和刚度，与自然组织的特性保持一致。在数值模拟和实验测试的指导下，这种方法产生了一种轻质、透气、逼真的假体，可以增强舒适性和功能性。这种方法突出了先进成像和3D打印技术在创造可定制的高性能解决方案方面的变革潜力，以改善乳腺癌患者的生活质量。

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引用次数: 0

A review of fluid-structure interaction: blood flow in arteries 流固相互作用：动脉血流的研究进展

Biomedical engineering advances

Pub Date : 2025-04-27 DOI: 10.1016/j.bea.2025.100171

Zubeir Allum Saib , Farid Abed , Mergen H. Ghayesh , Marco Amabili

Over the past decade, Fluid-Structure Interaction studies related to blood vessels have been an active area of research, as they adequately capture the multiphysics of blood flow within the circulatory system. Despite the growing interest, only few state-of-the-art reviews have been published in the literature, each focusing individually on the coronary artery, carotid artery, aorta, heart valves and peripheral arteries. This systematic review assesses the current research and implications of Fluid-Structure Interaction implementation strategies in relation to human arteries. It is meant to comprehensively amalgamate research studies on an array of arteries coupled with cardiovascular complications such as atherosclerosis, plaque calcification, aneurysms, aortic dissections and valve dysfunction. It additionally covers computational finite element and finite volume solver demands, coupling schemes, inlet and outlet boundary conditions specifications, Newtonian and non-Newtonian blood rheological properties, laminar and turbulent flow types, as well as the modelling of the vessel wall’s hyperelastic and viscoelastic mechanical behavior. The research information is retrieved from the last ten years and summarized in a tabulated format, to help researchers in easily extracting useful information for future investigations and reviews.

在过去的十年中，与血管相关的流体-结构相互作用研究一直是一个活跃的研究领域，因为它们充分捕捉了循环系统内血液流动的多物理场。尽管人们的兴趣越来越浓厚，但文献中发表的最新综述很少，每一篇综述都单独关注冠状动脉、颈动脉、主动脉、心脏瓣膜和外周动脉。这篇系统的综述评估了与人体动脉相关的流体-结构相互作用实施策略的当前研究和意义。它的目的是全面合并对一系列动脉合并心血管并发症的研究，如动脉粥样硬化、斑块钙化、动脉瘤、主动脉夹层和瓣膜功能障碍。此外，它还涵盖了计算有限元和有限体积求解器的要求，耦合方案，进出口边界条件规范，牛顿和非牛顿血液流变学特性，层流和湍流类型，以及血管壁的超弹性和粘弹性力学行为的建模。检索了近十年的研究信息，并以表格形式进行了总结，以帮助研究人员方便地提取有用的信息，以便于未来的调查和评论。

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引用次数: 0

ECG-based cardiac arrhythmia classification using fuzzy encoded features and deep neural networks 基于模糊编码特征和深度神经网络的心电心律失常分类

Biomedical engineering advances

Pub Date : 2025-04-25 DOI: 10.1016/j.bea.2025.100167

Kiruthika Balakrishnan , Durgadevi Velusamy , Karthikeyan Ramasamy , Lisiane Pruinelli

Cardiac arrhythmia, characterized by an irregular heart rhythm, is a leading cause of sudden and unexpected deaths among patients with cardiovascular diseases. The electrocardiogram (ECG) is a widely utilized non-invasive tool for detecting cardiac arrhythmias. This study investigates the effectiveness of ECG signals in diagnosing various irregular heart rhythms and proposes a novel framework integrating a fuzzy system with deep neural networks. Our approach combines Fourier–Bessel Series Expansion (FBSE)-Tunable Q Wavelet Transform (TQWT) and Principal Component Analysis (PCA) for automatic arrhythmia classification. Compared to conventional deep learning models that rely on raw ECG signals, our method enhances interpretability and feature extraction by incorporating time–frequency analysis and fuzzy feature encoding. Experimental validation using the MIT-BIH dataset demonstrated that our approach outperforms state-of-the-art models in classifying five arrhythmia categories (N, SVEB, VEB, Q, and F) based on the Association for the Advancement of Medical Instrumentation (AAMI) standards. Our model achieved precision scores of 0.98 (N), 0.95 (F), 0.98 (VEB), 0.90 (SVEB), and 0.99 (Q), with corresponding recall values of 1.00 (N), 0.74 (F), 0.93 (VEB), 0.72 (SVEB), and 0.98 (Q). The integration of FBSE-TQWT with a fuzzy deep neural network represents a substantial advancement in ECG-based arrhythmia detection, offering improved accuracy, robustness, and clinical applicability, particularly in distinguishing minority classes such as supraventricular ectopic beats (SVEB) and fusion beats (F).

心律失常，以心律不规律为特征，是心血管疾病患者突然和意外死亡的主要原因。心电图（ECG）是一种广泛使用的无创检测心律失常的工具。本研究探讨了心电信号在诊断各种不规则心律方面的有效性，并提出了一种将模糊系统与深度神经网络相结合的新框架。我们的方法结合傅里叶-贝塞尔级数展开(FBSE)-可调Q小波变换（TQWT）和主成分分析（PCA）进行心律失常自动分类。与依赖原始心电信号的传统深度学习模型相比，我们的方法通过结合时频分析和模糊特征编码增强了可解释性和特征提取。使用MIT-BIH数据集的实验验证表明，我们的方法在基于医疗器械进步协会（AAMI）标准对五种心律失常类别（N， SVEB， VEB， Q和F）进行分类方面优于最先进的模型。我们的模型获得了0.98 (N)、0.95 (F)、0.98 （VEB）、0.90 （SVEB）和0.99 (Q)的精度分数，相应的召回值为1.00 (N)、0.74 (F)、0.93 （VEB）、0.72 （SVEB）和0.98 (Q)。FBSE-TQWT与模糊深度神经网络的集成代表了基于ecg的心律失常检测的重大进步，提高了准确性、鲁棒性和临床适用性。特别是在区分少数类，如室上异位拍（SVEB）和融合拍(F)。

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引用次数: 0

Negative magnetophoresis guided unidirectional cell patterning on culture surface 负磁泳引导培养表面的单向细胞图案

Biomedical engineering advances

Pub Date : 2025-04-22 DOI: 10.1016/j.bea.2025.100169

Melike Cagan-Algan , Muge Anil-Inevi , Seren Kecili , Ece Inal , H. Cumhur Tekin , Gulistan Mese , Engin Ozcivici

Cell patterning is a significant tool in tissue engineering, enabling the directed deposition of cells into specific locations to achieve biological relevance. Conventional cell patterning techniques often involve time-consuming modifications or bioprinting, potentially affecting cell viability. This study presents a novel, single-step magnetic patterning system for label-free linear cell patterning using negative magnetophoresis. A custom magnetic system and culture chamber enabled the rapid (3 h) imprinting of cells on a surface without substrate modification. This approach achieved linear patterns with a thickness of ∼1 mm using a safe concentration of a paramagnetic agent (5 mM Gadolinium chelate, Gadobutrol). The patterns maintained structural integrity for 48 h and were successfully combined with osteogenic and adipogenic differentiation protocols. This cost-effective and contactless manipulation technique holds promise for diverse applications in tissue engineering, drug discovery, and fundamental cell biology research.

细胞图案化是组织工程中的一个重要工具，使细胞定向沉积到特定位置以实现生物学相关性。传统的细胞图谱技术通常涉及耗时的修改或生物打印，可能会影响细胞的活力。本研究提出了一种新颖的单步磁成像系统，用于使用负磁电泳进行无标记线性细胞成像。定制的磁性系统和培养室可以在不修改底物的情况下在表面上快速（3小时）印迹细胞。该方法使用安全浓度的顺磁剂（5 mm钆螯合物，Gadobutrol）实现了厚度为1 mm的线性图案。这些模式在48小时内保持结构完整性，并成功地与成骨和脂肪分化方案相结合。这种具有成本效益的非接触式操作技术有望在组织工程、药物发现和基础细胞生物学研究中得到广泛应用。

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引用次数: 0

3D printed titanium TPMS for personalised tibial bone implant 用于个性化胫骨植入的3D打印钛TPMS

Biomedical engineering advances

Pub Date : 2025-04-19 DOI: 10.1016/j.bea.2025.100166

Martin Appiah , Abul Arafat , Abhishek Gupta , Arun Arjunan , Ahmad Baroutaji , John Robinson , Chameekara T. Wanniarachchi , Manpreet Singh , Neil Ashwood , Aaron Vance

Porous titanium scaffolds offer hope for reducing stress shielding and encouraging new bone growth, moving the field closer to personalised load bearing implants. This study explores four triply periodic minimal surface (TPMS) tibial scaffolds informed by Gyroid (GSC), Lidinoid (LSC), Diamond (DSC), and Schwartz Primitive (SSC) unit cells. These scaffolds were made using Laser Powder Bed Fusion (L-PBF) 3D printing, with a targeted porosity of 60 % to closely match the mechanical behaviour of natural tibial bone. Mechanical testing of these scaffolds revealed an elastic modulus of 10.42 to 13.62 GPa and compressive strengths ranging from 209 to 393 MPa, meeting the requirements for load-bearing tibial implants. Multi-criteria decision-making (MCDM) methods, AHP and TOPSIS, were applied to evaluate the designs, considering four favourable factors of relative importance in the order porosity>yield strength>elastic modulus>ultimate strength. This analysis identified SSC scaffold featuring Schwartz Primitive architecture as the most promising candidate for load-bearing applications. The biological compatibility of these scaffolds was also found to be equally compelling. In vitro testing with U-2OS osteosarcoma cells confirmed high cell viability, underscoring the cytocompatibility of these TPMS designs and reinforcing their potential for biomedical applications. Together, these findings offer a path toward the use of titanium scaffolds in orthopaedics, setting the stage for further in vivo studies and a potential breakthrough in functional bone implant design.

多孔钛支架提供了减少压力屏蔽和促进新骨生长的希望，使该领域更接近个性化承重植入物。本研究探讨了由Gyroid （GSC）、Lidinoid （LSC）、Diamond （DSC）和Schwartz Primitive （SSC）单元细胞组成的四种三周期最小表面（TPMS）胫骨支架。这些支架采用激光粉末床融合（L-PBF） 3D打印技术制造，目标孔隙率为60%，与天然胫骨的力学行为密切匹配。力学测试结果表明，该支架弹性模量为10.42 ~ 13.62 GPa，抗压强度为209 ~ 393 MPa，满足承重胫骨植入物的要求。采用多准则决策（MCDM）方法、层次分析法（AHP）和TOPSIS法对设计进行评价，考虑孔隙率、屈服强度、弹性模量、极限强度四个相对重要的因素。该分析确定了SSC支架具有施瓦茨原始结构，是承重应用中最有前途的候选材料。这些支架的生物相容性也同样令人信服。在U-2OS骨肉瘤细胞的体外测试中证实了高细胞活力，强调了这些TPMS设计的细胞相容性，并加强了它们在生物医学应用方面的潜力。总之，这些发现为钛支架在骨科中的应用提供了一条道路，为进一步的体内研究奠定了基础，并在功能性骨植入物设计方面取得了潜在的突破。

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引用次数: 0

Mechanical design of 3D printed bone tissue scaffolds with tunable anisotropy 各向异性可调3D打印骨组织支架的力学设计

Biomedical engineering advances

Pub Date : 2025-04-18 DOI: 10.1016/j.bea.2025.100170

Abdullah Al Masud , Amit Arefin , Nava Raj Khatri , AKM Ahasun Habib , Ming-Chien Chyu , Paul F. Egan

Additive manufacturing is enabling the design of intricate biomedical structures with tuned mechanics for bone tissue engineering. Tuning structures to mimic the effective anisotropic mechanical properties of bone, however, remains challenging due to difficulties in recreating bone’s hierarchical geometry and porous structure. Here, we introduce beam-based lattices with tunable unit cell aspect ratios and hierarchical pores to tailor the biomechanics of tissue engineering scaffolds for interbody spine fusion cages. BC-Tetra unit cells with beams along edges and diagonally from each corner to the center of a tetragonal unit volume were selected due to their mechanical efficiency and favorable geometry for tissue growth. Unit cells were designed with 500 and 800 µm diameter beams, porosities of 50 % and 70 %, and adjustable aspect ratios by tuning unit cell height. Scaffolds were printed using digital light processing with a biocompatible methacrylic polymer. Uniaxial mechanical compression experiments demonstrated that larger unit cell aspect ratios resulted in higher effective mechanical properties in the loading direction. Finite element analysis matched experimental trends and highlighted stress distributions for each tested lattice. Dimensional characterization demonstrated beams were printed larger than expected towards the center of the scaffold, that in turn decreased scaffold porosity while increasing stiffness. Large hierarchical voids were introduced to improve the consistency of printed beams throughout scaffolds and facilitate biological functioning. Mechanical testing demonstrated scaffolds of 40 % to 80 % porosity had stiffness from 3.9 to 8.4 kN/mm, suitable for vertebral bone fusion. These results enable improved design and fabrication of tissue scaffolds by providing new strategies for controlling anisotropy and hierarchy that could widely enhance regenerative medicine treatments.

增材制造能够设计复杂的生物医学结构，并为骨组织工程调整力学。然而，调整结构以模拟骨的有效各向异性力学特性仍然具有挑战性，因为在重建骨的分层几何形状和多孔结构方面存在困难。在这里，我们引入了基于梁的晶格，具有可调的单位细胞宽高比和分层孔，以定制用于椎间脊柱融合器的组织工程支架的生物力学。由于其机械效率和有利于组织生长的几何形状，选择了具有沿边缘和从每个角到四边形单元体积中心的对角线光束的BC-Tetra单元细胞。单元格的梁直径分别为500µm和800µm，孔隙率分别为50%和70%，宽高比可通过调节单元格的高度来调节。支架是用生物相容性的甲基丙烯酸聚合物进行数字光处理打印的。单轴力学压缩实验表明，在加载方向上，更大的单胞长径比导致更高的有效力学性能。有限元分析与实验趋势相匹配，并突出了每个测试晶格的应力分布。尺寸表征表明，梁比预期的更大，朝向支架的中心，这反过来降低了支架的孔隙率，同时增加了刚度。引入大的分层空隙以提高整个支架的打印梁的一致性并促进生物功能。力学试验表明，40% ~ 80%孔隙度的支架刚度为3.9 ~ 8.4 kN/mm，适合椎体骨融合。这些结果通过提供控制各向异性和层次结构的新策略，可以改善组织支架的设计和制造，从而广泛增强再生医学治疗。

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引用次数: 0

Decision support systems for lower limb rehabilitation using electrical stimulation—A review 电刺激下肢康复决策支持系统综述

Biomedical engineering advances

Pub Date : 2025-04-15 DOI: 10.1016/j.bea.2025.100162

Tiago Franco , Pedro Rangel Henriques , Paulo Alves , Maria João Varanda Pereira

This paper presents a comprehensive review of Decision Support Systems (DSS) for lower limb rehabilitation using Electrical Stimulation (ES), employing a rigorous two-part methodology. The first part involves a bibliometric analysis of articles from 1980 to 2023, while the second part is a systematic review of studies from 2019 to 2023, addressing six key research questions. The review identifies the main characteristics of DSS, such as data usage, sensitive data protection, reasoning techniques, and validation processes. It highlights the development focus on joint control systems, increasing interest in biofeedback and AI applications, and significant interest in FES-Cycling. Despite advancements, “decision support” remains in the early stages with simple architectures and limited data handling. Conversely, studies show advanced ES control models validated with neurological patients. This article emphasizes the need for sophisticated DSS that integrate data protection, reasoning methods, and patient monitoring to enhance rehabilitation outcomes and identifies significant gaps for future research.

本文提出了一个全面的审查决策支持系统（DSS）下肢康复使用电刺激（ES），采用严格的两部分的方法。第一部分对1980年至2023年的文章进行了文献计量分析，第二部分是对2019年至2023年的研究进行了系统回顾，解决了六个关键研究问题。审查确定了决策支持系统的主要特征，如数据使用、敏感数据保护、推理技术和验证过程。它强调了联合控制系统的发展重点，对生物反馈和人工智能应用的兴趣日益增加，以及对fes循环的重大兴趣。尽管取得了进步，“决策支持”仍然处于早期阶段，架构简单，数据处理有限。相反，研究表明，先进的ES控制模型在神经系统患者中得到了验证。本文强调需要集成数据保护、推理方法和患者监测的复杂DSS，以提高康复效果，并确定未来研究的重大差距。

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引用次数: 0

Ion release and antibacterial assessment of copper-containing hydroxyapatite and biphasic calcium phosphates 含铜羟基磷灰石和双相磷酸钙的离子释放及抗菌评价

Biomedical engineering advances

Pub Date : 2025-04-09 DOI: 10.1016/j.bea.2025.100165

Sierra K. Kucko , Danielle L. Perry , Randall E. Youngman , Timothy J. Keenan

Copper-containing hydroxyapatite (CuHA) is hypothesized to be an effective approach to hinder orthopedic infection. Copper (Cu) is well regarded for its antibacterial potential yet remains understudied in bioceramics. Herein, a series of CuHA were evaluated by probing the Cu²⁺ ion using electron paramagnetic resonance (EPR). Additionally, particle size, surface area, and crystallinity measurements were performed. CuHA was heat-treated to form Cu-containing biphasic calcium phosphate (CuBCP), which enabled Cu release in aqueous solution to reach a maximum of 0.108 + 0.004 mg/L per 1m² powder compared to its CuHA counterpart, which showed no Cu release per 1m² powder. Agar diffusion and time-based bacterial broth analyses were conducted against gram-positive and gram-negative strains of bacteria for CuHA and CuBCP with results indicating potential bacteriostatic effects. The material that released the highest amount of Cu into aqueous solution also exhibited the largest inhibitory effect against S. Aureus (broth analyses) indicating a potential correlation.

含铜羟基磷灰石（CuHA）被认为是阻止骨科感染的有效途径。铜（Cu）因其抗菌潜力而受到广泛关注，但在生物陶瓷领域仍未得到充分研究。本文利用电子顺磁共振（EPR）探测Cu2+离子，对一系列CuHA进行了评价。此外，还进行了粒度、表面积和结晶度的测量。CuHA经过热处理形成含Cu的双相磷酸钙（cucp），使Cu在水溶液中的释放量最高达到0.108 + 0.004 mg/L / 1m2粉末，而CuHA在水溶液中没有Cu的释放。琼脂扩散和基于时间的细菌肉汤分析对革兰氏阳性和革兰氏阴性菌株的CuHA和CuBCP进行了分析，结果表明潜在的抑菌作用。向水溶液中释放最多铜的材料对金黄色葡萄球菌的抑制作用也最大（肉汤分析），表明两者之间存在潜在的相关性。

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引用次数: 0

WIVIDOSA-Net: Wigner–Ville distribution based obstructive sleep apnea detection using single lead ECG signal wividasa - net：基于Wigner-Ville分布的单导联心电信号阻塞性睡眠呼吸暂停检测

Biomedical engineering advances

Pub Date : 2025-04-05 DOI: 10.1016/j.bea.2025.100159

Amit Bhongade, Tapan Kumar Gandhi

Obstructive sleep apnea (OSA) is a serious condition causing intermittent breathing stops during sleep. Currently, it is diagnosed with polysomnography (PSG), which is costly and sometimes uncomfortable. Researchers are now exploring the use of electrocardiogram (ECG) signals as a potential alternative for diagnosing OSA. Here, we have proposed a novel deep learning model (DLM) to detect OSA using smoothed Wigner–Ville spectrograms (SWVSs) of ECG signals. The PhysioNet Apnea ECG Database (70 full-night ECG recordings) is used to validate the model performance. The proposed model first converted the per-minute ECG signals into WVSs and smoothened them using Savitzky–Golay (S–G) filtering. Then, SWVSs were fed as input to our newly developed DLM named WIgner–VIlle Distribution-based Obstructive Sleep Apnea convolutional neural network (WIVIDOSA-Net) as well as other standard pretrained ResNet-18 and ResNet-50 for comparison. The WIVIDOSA-Net model achieves an average classification accuracy of 90.09%, specificity of 91.12%, and sensitivity of 87.40% when evaluated using a tenfold cross-validation method. The proposed model extracts high-resolution spatial and temporal information, making the pipeline very effective in discriminating OSA episodes from normal. Therefore, it exhibits superior performance in comparison to all current state-of-the-art approaches, with a reduced computation burden due to its limited number of learnable parameters.

阻塞性睡眠呼吸暂停（OSA）是一种严重的疾病，会导致睡眠时呼吸间歇性停止。目前，这种疾病是通过多导睡眠图（PSG）来诊断的，这种方法费用昂贵，有时还会让人感到不舒服。研究人员目前正在探索使用心电图（ECG）信号作为诊断 OSA 的潜在替代方法。在此，我们提出了一种新颖的深度学习模型（DLM），利用心电信号的平滑维格纳-维尔频谱图（SWVS）来检测 OSA。PhysioNet 呼吸暂停心电图数据库（70 个整夜心电图记录）用于验证模型的性能。建议的模型首先将每分钟心电信号转换成 SWVS，并使用萨维茨基-戈莱（S-G）滤波对其进行平滑处理。然后，将 SWVS 输入到我们新开发的 DLM（名为基于 WIgner-VIlle 分布的阻塞性睡眠呼吸暂停卷积神经网络 (WIVIDOSA-Net)）以及其他标准预训练 ResNet-18 和 ResNet-50 中进行比较。在使用十倍交叉验证法进行评估时，WIVIDOSA-Net 模型的平均分类准确率为 90.09%，特异性为 91.12%，灵敏度为 87.40%。所提出的模型提取了高分辨率的空间和时间信息，使管道在区分 OSA 发作和正常发作方面非常有效。因此，与目前所有最先进的方法相比，该模型表现出更优越的性能，而且由于可学习参数的数量有限，还减轻了计算负担。

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引用次数: 0