Biomedical engineering advances最新文献_第6页

Bio-based composite membranes from fish scales: A novel approach to harnessing collagen and hydroxyapatite for tissue engineering applications 鱼鳞生物基复合膜：利用胶原蛋白和羟基磷灰石进行组织工程应用的新方法

Biomedical engineering advances

Pub Date : 2025-06-01 Epub Date: 2025-02-07 DOI: 10.1016/j.bea.2025.100146

Israel Núñez-Tapia , Jimena Macouzet-Garduño , Fernanda Ramírez-Ruiz , Febe Carolina Vázquez-Vázquez , Marco Antonio Álvarez-Pérez , Lauro Bucio-Galindo , María Cristina Piña-Barba

Fish scales, a by-product of the fishing industry, have been identified as a potential source of hydroxyapatite and collagen due to their inherent composition. The present study aims to develop a bio-based membrane from fish scales as a raw material, evaluating its suitability for tissue engineering applications.

The characterisation of the resulting membranes was performed by infrared spectroscopy, which allowed the identification of peaks corresponding to the vibrational modes of the amides present in collagen. The presence of hydroxyapatite was confirmed by X-ray diffraction, the results of which were in agreement with the ICDD 009–0431 standard. The collagen denaturation temperature (70 °C) was determined using differential scanning calorimetry. Furthermore, the mechanical properties were evaluated by uniaxial tensile tests, following the standards of ASTM-D1708–96, and the Young's moduli were obtained as 7179 ± 77 kPa in dry conditions and 760 ± 133 kPa in wet conditions.

In tests with human gingival fibroblasts, the fish scale-derived membranes showed higher cell viability and significantly higher proliferation rates compared to the commercial type I collagen membrane used as a control (Matrixflex™, obtained from highly purified porcine peritoneum), highlighting the potential of fish scale-derived membranes as bio-based composite materials.

鱼鳞是渔业的副产品，由于其固有的成分，已被确定为羟基磷灰石和胶原蛋白的潜在来源。本研究旨在以鱼鳞为原料制备生物基膜，并评估其在组织工程中的适用性。所得膜的表征是通过红外光谱进行的，它允许识别与胶原蛋白中存在的酰胺的振动模式相对应的峰。x射线衍射证实了羟基磷灰石的存在，其结果符合ICDD 009-0431标准。采用差示扫描量热法测定胶原变性温度（70℃）。按照ASTM-D1708-96的标准，通过单轴拉伸试验对其力学性能进行了评价，得到了干燥条件下的杨氏模量为7179±77 kPa，潮湿条件下的杨氏模量为760±133 kPa。在人类牙龈成纤维细胞的测试中，与用作对照的商业I型胶原膜（Matrixflex™，从高度纯化的猪腹膜中获得）相比，鱼鳞衍生膜显示出更高的细胞活力和显著更高的增殖率，突出了鱼鳞衍生膜作为生物基复合材料的潜力。

{"title":"Bio-based composite membranes from fish scales: A novel approach to harnessing collagen and hydroxyapatite for tissue engineering applications","authors":"Israel Núñez-Tapia , Jimena Macouzet-Garduño , Fernanda Ramírez-Ruiz , Febe Carolina Vázquez-Vázquez , Marco Antonio Álvarez-Pérez , Lauro Bucio-Galindo , María Cristina Piña-Barba","doi":"10.1016/j.bea.2025.100146","DOIUrl":"10.1016/j.bea.2025.100146","url":null,"abstract":"<div><div>Fish scales, a by-product of the fishing industry, have been identified as a potential source of hydroxyapatite and collagen due to their inherent composition. The present study aims to develop a bio-based membrane from fish scales as a raw material, evaluating its suitability for tissue engineering applications.</div><div>The characterisation of the resulting membranes was performed by infrared spectroscopy, which allowed the identification of peaks corresponding to the vibrational modes of the amides present in collagen. The presence of hydroxyapatite was confirmed by X-ray diffraction, the results of which were in agreement with the ICDD 009–0431 standard. The collagen denaturation temperature (70 °C) was determined using differential scanning calorimetry. Furthermore, the mechanical properties were evaluated by uniaxial tensile tests, following the standards of ASTM-D1708–96, and the Young's moduli were obtained as 7179 ± 77 kPa in dry conditions and 760 ± 133 kPa in wet conditions.</div><div>In tests with human gingival fibroblasts, the fish scale-derived membranes showed higher cell viability and significantly higher proliferation rates compared to the commercial type I collagen membrane used as a control (Matrixflex™, obtained from highly purified porcine peritoneum), highlighting the potential of fish scale-derived membranes as bio-based composite materials.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100146"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143394760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A scoping review of deep learning approaches for lung cancer detection using chest radiographs and computed tomography scans 使用胸部x光片和计算机断层扫描进行肺癌检测的深度学习方法的范围审查

Biomedical engineering advances

Pub Date : 2025-06-01 Epub Date: 2024-12-06 DOI: 10.1016/j.bea.2024.100138

M.N. Nguyen

Lung cancer remains the most lethal cancer, primarily due to late diagnoses. Thus, early detection of lung cancer is critical to improving patient outcomes. While conventional methods like Chest X-rays (CXRs) and computed tomography (CT) scans are widely used, their effectiveness can be limited by subjective interpretation and variability in the detection of subtle lesions. Recent advancements in deep learning (DL) have shown the potential to enhance the accuracy and reliability of lung cancer diagnosis through medical image analysis. This review provides a comprehensive overview of current DL approaches applied to CXRs and CT scans for lung cancer detection. Various DL techniques and their ability are explored to address challenges such as data scarcity, imbalanced datasets, and overfitting. The current state of research, including the most utilized datasets and popular DL training methods, is also examined. Future directions for integrating DL into clinical practice are discussed. The findings are based on a review of peer-reviewed literature published between January 2023 and July 2024, aiming to offer insights into the evolving landscape of DL in lung cancer detection and to outline potential pathways for future research and clinical implementation.

肺癌仍然是最致命的癌症，主要是由于诊断较晚。因此，早期发现肺癌对改善患者预后至关重要。虽然传统的方法，如胸部x射线（CXRs）和计算机断层扫描（CT）扫描被广泛使用，但它们的有效性可能受到主观解释和细微病变检测的可变性的限制。深度学习（DL）的最新进展显示出通过医学图像分析提高肺癌诊断准确性和可靠性的潜力。这篇综述提供了目前应用于cxr和CT扫描肺癌检测的DL方法的全面概述。探讨了各种深度学习技术及其能力，以解决诸如数据稀缺、数据集不平衡和过拟合等挑战。目前的研究状况，包括最常用的数据集和流行的深度学习训练方法，也进行了检查。讨论了将深度学习纳入临床实践的未来方向。该研究结果基于对2023年1月至2024年7月间发表的同行评议文献的回顾，旨在深入了解DL在肺癌检测中的发展前景，并概述未来研究和临床实施的潜在途径。

{"title":"A scoping review of deep learning approaches for lung cancer detection using chest radiographs and computed tomography scans","authors":"M.N. Nguyen","doi":"10.1016/j.bea.2024.100138","DOIUrl":"10.1016/j.bea.2024.100138","url":null,"abstract":"<div><div>Lung cancer remains the most lethal cancer, primarily due to late diagnoses. Thus, early detection of lung cancer is critical to improving patient outcomes. While conventional methods like Chest X-rays (CXRs) and computed tomography (CT) scans are widely used, their effectiveness can be limited by subjective interpretation and variability in the detection of subtle lesions. Recent advancements in deep learning (DL) have shown the potential to enhance the accuracy and reliability of lung cancer diagnosis through medical image analysis. This review provides a comprehensive overview of current DL approaches applied to CXRs and CT scans for lung cancer detection. Various DL techniques and their ability are explored to address challenges such as data scarcity, imbalanced datasets, and overfitting. The current state of research, including the most utilized datasets and popular DL training methods, is also examined. Future directions for integrating DL into clinical practice are discussed. The findings are based on a review of peer-reviewed literature published between January 2023 and July 2024, aiming to offer insights into the evolving landscape of DL in lung cancer detection and to outline potential pathways for future research and clinical implementation.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100138"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comprehensive study of traditional glaucoma drainage devices and emerging Micro Invasive Glaucoma Surgery (MIGS) devices: A review 传统青光眼引流装置和新兴微创青光眼手术装置的综合研究综述

Biomedical engineering advances

Pub Date : 2025-06-01 Epub Date: 2024-12-11 DOI: 10.1016/j.bea.2024.100140

Anshika Garg , Gurpreet Singh , Shubham Gupta , Vivek Gupta , Arnab Chanda

Glaucoma is a neurogenerative, irreversible disorder caused by elevated intraocular pressure (IOP) in the eye, which can lead to vision loss. Currently, reducing IOP by providing an alternate pathway to aqueous humor is the only proven method for preventing glaucoma. It was found in the literature that traditional Glaucoma Drainage Devices (GDD) have proven effective in safety and reducing intraocular pressure. In recent years, a category of Micro Invasive Glaucoma Surgery (MIGS) has emerged, offering smaller and less invasive surgical procedures compared to conventional GDD. This comprehensive literature review focuses on the fluid mechanics of these implants, their structural parameters, and associated clinical studies. The goal is to assist researchers, scientists, and manufacturers in improving the design of glaucoma implants to achieve long-term success.

青光眼是一种由眼内眼压（IOP）升高引起的神经再生、不可逆疾病，可导致视力丧失。目前，通过提供房水的替代途径来降低IOP是唯一被证实的预防青光眼的方法。文献显示，传统的青光眼引流装置（GDD）在安全性和降低眼压方面是有效的。近年来，出现了一种微创青光眼手术（MIGS），与传统的GDD相比，它提供了更小、更少侵入性的手术程序。这篇全面的文献综述着重于这些植入物的流体力学、结构参数和相关的临床研究。目的是帮助研究人员、科学家和制造商改进青光眼植入物的设计，以取得长期的成功。

引用次数: 0

Robust and sparse estimator for EEG source localization 脑电信号源定位的鲁棒稀疏估计

Biomedical engineering advances

Pub Date : 2025-06-01 Epub Date: 2025-05-14 DOI: 10.1016/j.bea.2025.100177

Teja Mannepalli , Aurobinda Routray

EEG source localization involves reconstructing brain activity from observed EEG measurements, a critical task for diagnosing various neurological disorders. The distributed approach to this problem is inherently ill-posed, posing significant challenges. In this study, we present a sparsity-controlled Lorentzian norm-based method for EEG source localization. This approach effectively balances robustness to measurement noise and sparsity in the solution.

The proposed method employs a non-linear conjugate gradient descent algorithm to minimize the loss function, where the Lorentzian norm replaces the conventional

ℓ_{2}

norm. The Lorentzian norm’s unique ability to handle impulsive noise ensures precise estimation of active sources, even under challenging conditions. Comparative analyses with

ℓ_{2}

,

ℓ_{1}

and

ℓ_{p}, p < 1

norm-based methods highlight the Lorentzian norm’s superior robustness and sparsity control. The results demonstrate that this novel approach improves the accuracy and reliability of EEG source localization, making it a valuable tool for medical applications.

脑电图源定位涉及从观察到的脑电图测量中重建大脑活动，这是诊断各种神经系统疾病的关键任务。解决这个问题的分布式方法本质上是病态的，带来了重大的挑战。在这项研究中，我们提出了一种稀疏控制的基于洛伦兹范数的脑电信号源定位方法。这种方法有效地平衡了解决方案中测量噪声和稀疏性的鲁棒性。该方法采用非线性共轭梯度下降算法最小化损失函数，用洛伦兹范数代替传统的l2范数。洛伦兹范数处理脉冲噪声的独特能力确保了即使在具有挑战性的条件下也能精确估计有源。与基于l2， p1和p1范数的方法的比较分析表明，Lorentzian范数具有较好的鲁棒性和稀疏性控制。结果表明，该方法提高了脑电信号源定位的准确性和可靠性，为医学应用提供了有价值的工具。

{"title":"Robust and sparse estimator for EEG source localization","authors":"Teja Mannepalli , Aurobinda Routray","doi":"10.1016/j.bea.2025.100177","DOIUrl":"10.1016/j.bea.2025.100177","url":null,"abstract":"<div><div>EEG source localization involves reconstructing brain activity from observed EEG measurements, a critical task for diagnosing various neurological disorders. The distributed approach to this problem is inherently ill-posed, posing significant challenges. In this study, we present a sparsity-controlled Lorentzian norm-based method for EEG source localization. This approach effectively balances robustness to measurement noise and sparsity in the solution.</div><div>The proposed method employs a non-linear conjugate gradient descent algorithm to minimize the loss function, where the Lorentzian norm replaces the conventional <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> norm. The Lorentzian norm’s unique ability to handle impulsive noise ensures precise estimation of active sources, even under challenging conditions. Comparative analyses with <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>, <span><math><msub><mrow><mi>ℓ</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and <span><math><mrow><msub><mrow><mi>ℓ</mi></mrow><mrow><mi>p</mi></mrow></msub><mo>,</mo><mi>p</mi><mo><</mo><mn>1</mn></mrow></math></span> norm-based methods highlight the Lorentzian norm’s superior robustness and sparsity control. The results demonstrate that this novel approach improves the accuracy and reliability of EEG source localization, making it a valuable tool for medical applications.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100177"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In silico model of mechano-biochemical bone remodeling characterizes the therapeutic effects of osteoporosis drugs depending on the action mechanism 机械-生化骨重塑的计算机模型根据作用机制表征了骨质疏松药物的治疗效果

Biomedical engineering advances

Pub Date : 2025-06-01 Epub Date: 2025-05-02 DOI: 10.1016/j.bea.2025.100176

Yoshitaka Kameo , Kei Imai , Yuki Miya , Young Kwan Kim , Taiji Adachi

Osteoporosis stems from an imbalance between bone resorption and formation during bone remodeling, a mechano-biochemical coupling event that intercellular signaling regulates among the bone cells in response to the mechanical environment. Osteoporosis treatment necessitates the modulation of impaired bone remodeling by drug administration to restore an appropriate balance in bone resorption–formation. Characterizing the therapeutic effects of osteoporosis drugs based on their molecular mechanisms of action is crucial to prevent adverse effects and improve the therapeutic efficacy. Herein, we characterized the therapeutic effects of osteoporosis drugs using an in silico model of mechano-biochemical bone remodeling, enabling examination of its spatial and temporal behaviors. We conducted computer simulations to assess osteoporosis drug treatments using two drugs with different mechanisms of action: an anti-receptor activator of nuclear factor-κB ligand (RANKL) antibody (denosumab) and a RANKL production inhibitor. Both drugs restored functionally-adapted trabecular bone morphology when dosages were appropriately adjusted. However, denosumab exhibited more stable therapeutic effects despite dosage changes in osteoporosis treatment. Thus, our medication simulation effectively depicted the therapeutic effects of osteoporosis drugs, illustrating their efficacy based on their mechanisms of action. We expect that medication simulations utilizing an in silico model of mechano-biochemical bone remodeling will expedite the drug discovery process by thoroughly analyzing molecular, cellular, tissue, and organ dynamics during drug treatment.

骨质疏松症源于骨重塑过程中骨吸收和骨形成之间的不平衡，这是一种机械-生化耦合事件，骨细胞之间的细胞间信号调节是对机械环境的反应。骨质疏松症的治疗需要通过给药来调节受损的骨重塑，以恢复骨吸收形成的适当平衡。基于分子作用机制来表征骨质疏松药物的治疗效果对预防不良反应和提高治疗效果至关重要。在此，我们使用机械-生化骨重塑的计算机模型来表征骨质疏松药物的治疗效果，从而检查其空间和时间行为。我们通过计算机模拟评估了两种不同作用机制的药物对骨质疏松症的治疗效果：一种是核因子-κB配体抗受体激活剂（RANKL）抗体（denosumab），另一种是RANKL产生抑制剂。当剂量适当调整时，两种药物都能恢复功能适应的小梁骨形态。然而，denosumab在骨质疏松症治疗中，尽管剂量变化，但疗效更稳定。因此，我们的药物模拟有效地描述了骨质疏松药物的治疗效果，说明了其基于作用机制的疗效。我们期望利用机械-生化骨重塑的硅模型进行药物模拟，通过彻底分析药物治疗过程中的分子、细胞、组织和器官动力学，加快药物发现过程。

{"title":"In silico model of mechano-biochemical bone remodeling characterizes the therapeutic effects of osteoporosis drugs depending on the action mechanism","authors":"Yoshitaka Kameo , Kei Imai , Yuki Miya , Young Kwan Kim , Taiji Adachi","doi":"10.1016/j.bea.2025.100176","DOIUrl":"10.1016/j.bea.2025.100176","url":null,"abstract":"<div><div>Osteoporosis stems from an imbalance between bone resorption and formation during bone remodeling, a mechano-biochemical coupling event that intercellular signaling regulates among the bone cells in response to the mechanical environment. Osteoporosis treatment necessitates the modulation of impaired bone remodeling by drug administration to restore an appropriate balance in bone resorption–formation. Characterizing the therapeutic effects of osteoporosis drugs based on their molecular mechanisms of action is crucial to prevent adverse effects and improve the therapeutic efficacy. Herein, we characterized the therapeutic effects of osteoporosis drugs using an <em>in silico</em> model of mechano-biochemical bone remodeling, enabling examination of its spatial and temporal behaviors. We conducted computer simulations to assess osteoporosis drug treatments using two drugs with different mechanisms of action: an anti-receptor activator of nuclear factor-κB ligand (RANKL) antibody (denosumab) and a RANKL production inhibitor. Both drugs restored functionally-adapted trabecular bone morphology when dosages were appropriately adjusted. However, denosumab exhibited more stable therapeutic effects despite dosage changes in osteoporosis treatment. Thus, our medication simulation effectively depicted the therapeutic effects of osteoporosis drugs, illustrating their efficacy based on their mechanisms of action. We expect that medication simulations utilizing an <em>in silico</em> model of mechano-biochemical bone remodeling will expedite the drug discovery process by thoroughly analyzing molecular, cellular, tissue, and organ dynamics during drug treatment.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100176"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decoding and generating synergy-based hand movements using electroencephalography during motor execution and motor imagery 在运动执行和运动想象过程中使用脑电图解码和生成基于协同的手部运动

Biomedical engineering advances

Pub Date : 2025-06-01 Epub Date: 2025-02-27 DOI: 10.1016/j.bea.2025.100152

Dingyi Pei, Ramana Vinjamuri

Brain-machine interfaces (BMIs) have proven valuable in motor control and rehabilitation. Motor imagery (MI) is a key tool for developing BMIs, particularly for individuals with impaired limb function. Motor planning and internal programming are hypothesized to be similar during motor execution (ME) and motor imagination. The anatomical and functional similarity between motor execution and motor imagery suggests that synergy-based movement generation can be achieved by extracting neural correlates of synergies or movement primitives from motor imagery. This study explored the feasibility of synergy-based hand movement generation using electroencephalogram (EEG) from imagined hand movements. Ten subjects participated in an experiment to imagine and execute hand movement tasks while their hand kinematics and neural activity were recorded. Hand kinematic synergies derived from executed movements were correlated with EEG spectral features to create a neural decoding model. This model was used to decode the weights of kinematic synergies from motor imagery EEG. These decoded weights were then combined with kinematic synergies to generate hand movements. As a result, the decoding model successfully predicted hand joint angular velocity patterns associated with grasping different objects. This adaptability demonstrates the model's ability to capture the motor control characteristics of ME and MI, advancing our understanding of MI-based neural decoding. The results hold promise for potential applications in noninvasive synergy-based neuromotor control and rehabilitation for populations with upper limb motor disabilities.

脑机接口（BMIs）在运动控制和康复方面已被证明是有价值的。运动意象（MI）是开发bmi的关键工具，特别是对于肢体功能受损的个体。在运动执行（ME）和运动想象中，运动规划和内部编程被假设是相似的。运动执行和运动想象在解剖学和功能上的相似性表明，基于协同的运动生成可以通过从运动想象中提取协同或运动原语的神经关联来实现。本研究利用脑电图（EEG）从想象的手部运动中探索基于协同的手部运动生成的可行性。10名受试者参与了一项实验，在想象和执行手部运动任务的同时，记录了他们的手部运动学和神经活动。由执行的运动产生的手部运动协同效应与脑电图频谱特征相关联，以创建神经解码模型。利用该模型对运动意象脑电的运动协同权值进行解码。然后将这些解码的权重与运动学协同作用结合起来产生手部运动。结果，解码模型成功地预测了与抓取不同物体相关的手关节角速度模式。这种适应性证明了该模型能够捕获ME和MI的运动控制特性，促进了我们对基于MI的神经解码的理解。该结果有望在无创性的基于协同作用的神经运动控制和上肢运动障碍人群康复方面的潜在应用。

{"title":"Decoding and generating synergy-based hand movements using electroencephalography during motor execution and motor imagery","authors":"Dingyi Pei, Ramana Vinjamuri","doi":"10.1016/j.bea.2025.100152","DOIUrl":"10.1016/j.bea.2025.100152","url":null,"abstract":"<div><div>Brain-machine interfaces (BMIs) have proven valuable in motor control and rehabilitation. Motor imagery (MI) is a key tool for developing BMIs, particularly for individuals with impaired limb function. Motor planning and internal programming are hypothesized to be similar during motor execution (ME) and motor imagination. The anatomical and functional similarity between motor execution and motor imagery suggests that synergy-based movement generation can be achieved by extracting neural correlates of synergies or movement primitives from motor imagery. This study explored the feasibility of synergy-based hand movement generation using electroencephalogram (EEG) from imagined hand movements. Ten subjects participated in an experiment to imagine and execute hand movement tasks while their hand kinematics and neural activity were recorded. Hand kinematic synergies derived from executed movements were correlated with EEG spectral features to create a neural decoding model. This model was used to decode the weights of kinematic synergies from motor imagery EEG. These decoded weights were then combined with kinematic synergies to generate hand movements. As a result, the decoding model successfully predicted hand joint angular velocity patterns associated with grasping different objects. This adaptability demonstrates the model's ability to capture the motor control characteristics of ME and MI, advancing our understanding of MI-based neural decoding. The results hold promise for potential applications in noninvasive synergy-based neuromotor control and rehabilitation for populations with upper limb motor disabilities.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100152"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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 : 2025-06-01 Epub 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。

{"title":"WIVIDOSA-Net: Wigner–Ville distribution based obstructive sleep apnea detection using single lead ECG signal","authors":"Amit Bhongade, Tapan Kumar Gandhi","doi":"10.1016/j.bea.2025.100159","DOIUrl":"10.1016/j.bea.2025.100159","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100159"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual probiotic and antibiotic therapy targeting bacterial vaginosis: An integrated experimental/computational modeling perspective 针对细菌性阴道病的双重益生菌和抗生素治疗：综合实验/计算模型的观点

Biomedical engineering advances

Pub Date : 2025-06-01 Epub Date: 2025-04-02 DOI: 10.1016/j.bea.2025.100163

Bassam Fotouh , Anthony J. Kyser , Mohamed Y. Mahmoud , Hermann B. Frieboes

A novel strategy delivering both metronidazole and L. crispatus via 3D-printed scaffolds was recently shown to target pathogens in bacterial vaginosis (BV) while promoting beneficial microflora with sustained probiotic release, with the objective to facilitate user treatment adherence. This study developed an integrated experimental/computational platform to evaluate dual therapeutic strategy efficacy over a wide range of system dynamics, towards the goal of personalized therapy design. Experiments evaluated Gardnerella and L. crispatus interactions under controlled glucose concentrations in vitro, including bacterial growth, glucose consumption, lactic acid production, and pH. These data informed parameters of a novel computational model simulating the vagina, incorporating nutrient dynamics, bacterial interactions, and dual release of antibiotics and probiotics from 3D-printed scaffolds. Efficacy of varying concentrations of antibiotics and probiotics was assessed via sensitivity analyses. Experimental results demonstrate that L. crispatus outcompetes Gardnerella at lower glucose concentrations, while Gardnerella dominates at higher glucose levels. The computational model replicated these dynamics and projected that dual therapy could significantly suppress Gardnerella while promoting L. crispatus, even at lower drug dosages and probiotic CFU counts. Results were validated against data from 3D-printed dual release scaffolds. Simulated dual treatment enhanced lactic acid production and decreased vaginal pH, creating an unfavorable environment for pathogenic bacteria and shifting the microbiome composition towards the beneficial microflora. We conclude that an integrated experimental/computational modeling approach enables detailed evaluation of pathogenic and host bacteria interactions in the vaginal microbiome. This approach could advance personalized treatment for BV that eradicates pathogens while simultaneously restoring beneficial microflora.

最近有研究表明，一种通过三维打印支架同时递送甲硝唑和L. crispatus的新型策略可在针对细菌性阴道病（BV）病原体的同时，通过持续释放益生菌促进有益微生物菌群，从而促进使用者坚持治疗。本研究开发了一个综合实验/计算平台，用于评估双重治疗策略在各种系统动力学条件下的疗效，以实现个性化治疗设计的目标。实验评估了加德纳菌和L. crispatus在体外受控葡萄糖浓度下的相互作用，包括细菌生长、葡萄糖消耗、乳酸产生和pH值。这些数据为模拟阴道的新型计算模型提供了参数，该模型结合了营养动态、细菌相互作用以及三维打印支架的抗生素和益生菌双重释放。通过敏感性分析评估了不同浓度的抗生素和益生菌的功效。实验结果表明，在葡萄糖浓度较低的情况下，L. crispatus 菌能与加德纳菌竞争，而在葡萄糖浓度较高的情况下，加德纳菌则占优势。计算模型复制了这些动态变化，并预测即使药物剂量和益生菌 CFU 数量较低，双重疗法也能在显著抑制加德纳菌的同时促进松柏菌的生长。结果与三维打印双释放支架的数据进行了验证。模拟的双重处理提高了乳酸的产生，降低了阴道的 pH 值，为致病菌创造了一个不利的环境，并使微生物群组成向有益微生物群转变。我们的结论是，综合实验/计算建模方法能够详细评估阴道微生物群中致病菌和宿主细菌的相互作用。这种方法可以推进针对 BV 的个性化治疗，在根除病原体的同时恢复有益微生物群。

{"title":"Dual probiotic and antibiotic therapy targeting bacterial vaginosis: An integrated experimental/computational modeling perspective","authors":"Bassam Fotouh , Anthony J. Kyser , Mohamed Y. Mahmoud , Hermann B. Frieboes","doi":"10.1016/j.bea.2025.100163","DOIUrl":"10.1016/j.bea.2025.100163","url":null,"abstract":"<div><div>A novel strategy delivering both metronidazole and <em>L. crispatus</em> via 3D-printed scaffolds was recently shown to target pathogens in bacterial vaginosis (BV) while promoting beneficial microflora with sustained probiotic release, with the objective to facilitate user treatment adherence. This study developed an integrated experimental/computational platform to evaluate dual therapeutic strategy efficacy over a wide range of system dynamics, towards the goal of personalized therapy design. Experiments evaluated <em>Gardnerella</em> and <em>L. crispatus</em> interactions under controlled glucose concentrations <em>in vitro</em>, including bacterial growth, glucose consumption, lactic acid production, and pH. These data informed parameters of a novel computational model simulating the vagina, incorporating nutrient dynamics, bacterial interactions, and dual release of antibiotics and probiotics from 3D-printed scaffolds. Efficacy of varying concentrations of antibiotics and probiotics was assessed via sensitivity analyses. Experimental results demonstrate that <em>L. crispatus</em> outcompetes <em>Gardnerella</em> at lower glucose concentrations, while <em>Gardnerella</em> dominates at higher glucose levels. The computational model replicated these dynamics and projected that dual therapy could significantly suppress <em>Gardnerella</em> while promoting <em>L. crispatus</em>, even at lower drug dosages and probiotic CFU counts. Results were validated against data from 3D-printed dual release scaffolds. Simulated dual treatment enhanced lactic acid production and decreased vaginal pH, creating an unfavorable environment for pathogenic bacteria and shifting the microbiome composition towards the beneficial microflora. We conclude that an integrated experimental/computational modeling approach enables detailed evaluation of pathogenic and host bacteria interactions in the vaginal microbiome. This approach could advance personalized treatment for BV that eradicates pathogens while simultaneously restoring beneficial microflora.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100163"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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 : 2025-06-01 Epub 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。

{"title":"A review of fluid-structure interaction: blood flow in arteries","authors":"Zubeir Allum Saib , Farid Abed , Mergen H. Ghayesh , Marco Amabili","doi":"10.1016/j.bea.2025.100171","DOIUrl":"10.1016/j.bea.2025.100171","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100171"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biochemical and biophysical cues of the extracellular matrix modulates stem cell fate: Progress and prospect in extracellular matrix mimicking biomaterials 细胞外基质调节干细胞命运的生化和生物物理线索：细胞外基质模拟生物材料的进展与展望

Biomedical engineering advances

Pub Date : 2025-06-01 Epub Date: 2025-01-01 DOI: 10.1016/j.bea.2024.100143

Anuska Mishra , Unnati Modi , Rahul Sharma , Dhiraj Bhatia , Raghu Solanki

Stem cell therapies hold immense promise for the treatment of a wide range of diseases; however, the full therapeutic potential remains untaped. This limitation arises primarily from our incomplete understanding of the complex mechanisms of stem cell niches. A promising avenue of research lies in the development of Extracellular Matrix (ECM)-based novel biomaterials, which closely mimic the natural microenvironment of stem cells. These biomaterials provide essential biophysical and biochemical cues necessary for mechanotransduction, thereby enhancing the efficacy and safety of stem cell therapies by precisely modulating stem cell fate. In this review, we discuss the critical role of the stem cell niche and its interplay with ECM, detailing its structural composition and functional significance. We further explore how the biophysical and biochemical factors of the ECM modulate specific transmembrane receptors, triggering intracellular signaling mechanisms that regulate cell morphology, cytoskeletal dynamics, viability, migration, and differentiation. Engineered biomaterials to replicate the properties of the ECM are discussed along with the incorporation of tailored biophysical and biochemical cues into scaffolds and biomaterials to modulate stem cell fate. Overall, this review underscores the innovative applications of ECM mimicking biomaterials in biomedical engineering, emphasizing their transformative potential to modulate stem cell fate and advance regenerative medicine.

干细胞疗法在治疗多种疾病方面有着巨大的前景；然而，它的全部治疗潜力仍未得到证实。这种限制主要源于我们对干细胞龛复杂机制的不完全理解。基于细胞外基质（ECM）的新型生物材料的开发是一种很有前途的研究途径，它可以模拟干细胞的自然微环境。这些生物材料为机械转导提供了必要的生物物理和生化线索，从而通过精确调节干细胞的命运来提高干细胞治疗的有效性和安全性。在这篇综述中，我们讨论了干细胞生态位的关键作用及其与ECM的相互作用，详细介绍了其结构组成和功能意义。我们进一步探讨了ECM的生物物理和生化因子如何调节特定的跨膜受体，触发细胞内信号机制，调节细胞形态、细胞骨架动力学、活力、迁移和分化。讨论了复制ECM特性的工程生物材料，以及将定制的生物物理和生化线索结合到支架和生物材料中来调节干细胞的命运。总之，这篇综述强调了ECM模拟生物材料在生物医学工程中的创新应用，强调了它们在调节干细胞命运和推进再生医学方面的变革潜力。

{"title":"Biochemical and biophysical cues of the extracellular matrix modulates stem cell fate: Progress and prospect in extracellular matrix mimicking biomaterials","authors":"Anuska Mishra , Unnati Modi , Rahul Sharma , Dhiraj Bhatia , Raghu Solanki","doi":"10.1016/j.bea.2024.100143","DOIUrl":"10.1016/j.bea.2024.100143","url":null,"abstract":"<div><div>Stem cell therapies hold immense promise for the treatment of a wide range of diseases; however, the full therapeutic potential remains untaped. This limitation arises primarily from our incomplete understanding of the complex mechanisms of stem cell niches. A promising avenue of research lies in the development of Extracellular Matrix (ECM)-based novel biomaterials, which closely mimic the natural microenvironment of stem cells. These biomaterials provide essential biophysical and biochemical cues necessary for mechanotransduction, thereby enhancing the efficacy and safety of stem cell therapies by precisely modulating stem cell fate. In this review, we discuss the critical role of the stem cell niche and its interplay with ECM, detailing its structural composition and functional significance. We further explore how the biophysical and biochemical factors of the ECM modulate specific transmembrane receptors, triggering intracellular signaling mechanisms that regulate cell morphology, cytoskeletal dynamics, viability, migration, and differentiation. Engineered biomaterials to replicate the properties of the ECM are discussed along with the incorporation of tailored biophysical and biochemical cues into scaffolds and biomaterials to modulate stem cell fate. Overall, this review underscores the innovative applications of ECM mimicking biomaterials in biomedical engineering, emphasizing their transformative potential to modulate stem cell fate and advance regenerative medicine.</div></div>","PeriodicalId":72384,"journal":{"name":"Biomedical engineering advances","volume":"9 ","pages":"Article 100143"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143161030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0