Critical Reviews in Biomedical Engineering最新文献_第7页

TABLE OF CONTENTS, VOLUME 49, 2021 目录，第49卷，2021年

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/critrevbiomedeng.v49.i6.60

引用次数: 0

Bone Bioelectricity and Bone-Cell Response to Electrical Stimulation: A Review. 骨生物电和骨细胞对电刺激的反应:综述。

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/CritRevBiomedEng.2021035327

Taylor deVet, Akiv Jhirad, Laura Pravato, Gregory R Wohl

{"title":"Bone Bioelectricity and Bone-Cell Response to Electrical Stimulation: A Review.","authors":"Taylor deVet, Akiv Jhirad, Laura Pravato, Gregory R Wohl","doi":"10.1615/CritRevBiomedEng.2021035327","DOIUrl":"https://doi.org/10.1615/CritRevBiomedEng.2021035327","url":null,"abstract":"It is hypothesized that bone cells can sense mechanical force in the extracellular network via an electrical signal. This has led to the use of electrical stimulation (ES) to improve fracture repair and mitigate bone loss. Although overlap exists in bone maintenance and fracture healing mechanics, the processes involved in both are very different, resulting in dissimilar behaviors from the cells. Osteocytes are the most abundant cell type in bone tissue, and their basic structure and lineage are fairly well understood, but much debate is present regarding their behavior, with even less known about their behavior in electrical environments. A wide range of research exists on cell behavior under different types of ES, but it is difficult to draw conclusions due to the large variance in stimulation parameters, cell types, and origins (locations and species). By exploring behavior of multiple bone-cell types under different forms of ES, as well as mechanical stimulation through fluid flow, we can determine more about cell reactions to stimuli. In turn, a better understanding of cell response has the potential to improve and broaden therapeutic applications of ES for bone healing and bone loss mitigation, and enhance outcomes for osseointegration into implantable medical devices. These require greater understanding of the bone cellular environment from an electrical perspective as well as cellular responses to ES.","PeriodicalId":53679,"journal":{"name":"Critical Reviews in Biomedical Engineering","volume":"49 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39275140","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: 7

Cost-Effective, Integrated In Vitro Phantoms for Cardiac MRI. 成本效益高，集成体外模型心脏MRI。

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/critrevbiomedeng.2021035094

Shivaprasad Chikop, A. S. Konar, N. Reddy, Nithin N. Vajuvalli, Darshan Keelara, Ashwini Kumnoor, S. Raghuraman, R. Venkatesan, S. Geethanath

引用次数: 0

Fetal Electrocardiography Extraction Based on Improved Fast Independent Components Analysis Algorithm. 基于改进的快速独立分量分析算法的胎儿心电图提取。

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/critrevbiomedeng.2022042126

Tan Li

{"title":"Fetal Electrocardiography Extraction Based on Improved Fast Independent Components Analysis Algorithm.","authors":"Tan Li","doi":"10.1615/critrevbiomedeng.2022042126","DOIUrl":"https://doi.org/10.1615/critrevbiomedeng.2022042126","url":null,"abstract":"Aiming at the problem that the fast independent components analysis (ICA) algorithm is sensitive to the initial value and easy to fall into local optimization, an improved fast ICA method is proposed for the extraction of fetal echocardiography (FECG) by combining the Simpson-Newton iterative and chaotic optimization algorithm to replace the traditional Newton iterative method. First, the Simpson formula is used to modify the traditional Newton method and a Simpson-Newton iterative algorithm is constructed. It shows that the Simpson-Newton iterative algorithm can significantly reduce the sensitivity of initial value selection, and has faster convergence speed. Then, combined with the Simpson-Newton method, the chaos optimization algorithm can obtain the approximate global optimal solution, which solves the problem that the traditional Newton iterative method tends to fall into local optimal and improves the separation performance of the fast ICA algorithm. Finally, based on chaos optimization, the proposed Simpson-Newton iterative fast ICA algorithm is applied to the extraction of FECG signals, and the extraction effect is evaluated by visual waveform and quantitative indicators. Furthermore, the algorithm is verified by different clinical signals. The experimental results show that the improved fast ICA algorithm can extract clear fetal heart signals, and there are almost no mixed maternal ECG signals in the extracted FECG signals. The extraction effect of the proposed method is thus optimal than that of the traditional fast ICA method.","PeriodicalId":53679,"journal":{"name":"Critical Reviews in Biomedical Engineering","volume":"49 4 1","pages":"53-64"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67421412","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

Evaluation of Early Knee Osteoarthritis Using Biomechanical and Biochemical Markers. 应用生物力学和生化指标评价早期膝关节骨关节炎。

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/CritRevBiomedEng.2022043127

Bela M Agarwal, Raman P Yadav, Sanketa D Tambe, Chandana C Kulkarni, Rajani P Mullerpatan

{"title":"Evaluation of Early Knee Osteoarthritis Using Biomechanical and Biochemical Markers.","authors":"Bela M Agarwal, Raman P Yadav, Sanketa D Tambe, Chandana C Kulkarni, Rajani P Mullerpatan","doi":"10.1615/CritRevBiomedEng.2022043127","DOIUrl":"https://doi.org/10.1615/CritRevBiomedEng.2022043127","url":null,"abstract":"Altered cellular mechano-transduction and biochemistry lead to degeneration of articular cartilage in people with knee osteoarthritis. However, the influence of low-moderate exposure to weight-bearing activity such as squatting on cartilage metabolism has not been adequately studied. The current study explored associations between knee adduction moment (KAM) during walking, biochemical markers and daily squat exposure. 3D gait analysis was used to determine external loads acting on the knee as indicators of joint compressive forces whereas biomarkers-Urine type-II-collagen-telopeptide (uCTxII), antioxidant and phospholipase A2 (PLA2) activity reflected on articular cartilage status. Following ethical approval, 66 participants with varying daily squat exposure (non-squatters [n = 21, exposure = 0 min]; activity of daily living [ADL] squatters [n = 16, exposure = 34 min]; occupational squatters [n = 13, exposure = 102 min]) and people with grade 2-3 knee osteoarthritis (n = 16, exposure = 28 min) were evaluated using 3D gait and biomarker analysis. The PLA2 activity was lowest in ADL squatters while occupational squatters demonstrated highest activity (p < 0.05). KAM and urine biomarker were similar among the groups. Moderate-strong positive association was observed between sweat PLA2 activity and age (r = 0.819, p = 0.004), daily squat exposure and biomarker uCTxII (r = 0.604, p = 0.013), antioxidant activity and Right-KAM (r = -0.917, p = 0.001), and Left-KAM (r = -0.767, p = 0.016), in people with knee OA. Healthy people demonstrated weak positive associations between KAM, uCTxII, and BMI. Associations between non-invasive biomechanical and biochemical markers indicate their potential use to identify early knee osteoarthritis. Studies with larger sample size are necessary to support prescription of body weight joint loading activities such as squatting in moderation, to delay functional decline caused by knee OA.","PeriodicalId":53679,"journal":{"name":"Critical Reviews in Biomedical Engineering","volume":"49 6","pages":"29-39"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40629735","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: 1

Evolution of Deep Learning Algorithms for MRI-Based Brain Tumor Image Segmentation. 基于mri的脑肿瘤图像分割深度学习算法的发展。

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/CritRevBiomedEng.2021035557

Khaled Shal, M S Choudhry

{"title":"Evolution of Deep Learning Algorithms for MRI-Based Brain Tumor Image Segmentation.","authors":"Khaled Shal, M S Choudhry","doi":"10.1615/CritRevBiomedEng.2021035557","DOIUrl":"https://doi.org/10.1615/CritRevBiomedEng.2021035557","url":null,"abstract":"Brain tumor textures are among the most challenging features for neuroradiologists to extract from magnetic resonance images (MRIs). Exceptionally high-grade tumors such as gliomas require quick and precise diagnosis and medical intervention due to their infiltrative and fast-spreading nature. Therefore, they require computer assistance instead of manual methods. Deep learning (DL) methods are currently on the rise and have become an active field of research in several domains varying from stock market analysis to deep space object detection. They have very promising potential in brain tumor feature extraction from MRIs. Convolutional neural network (CNN) architectures, one of the most influential families of DL algorithms, have undergone a profound transformation since their first successes. This has led to increasing feature extraction quality and algorithm generalizability over various brain tumor types and grades. This review paper presents an explanatory and comparative survey on MRI-based brain tumor image segmentation. First, it provides the survey background and the typical process chain for brain MRI segmentation using CNNs. Second, it details the typical CNN architecture structure and its advantages over other machine learning algorithms. CNN architectures proposed for this purpose are enumerated and classified corresponding to their complexity, and then compared using specific metrics that consider the datasets they use.","PeriodicalId":53679,"journal":{"name":"Critical Reviews in Biomedical Engineering","volume":"49 1","pages":"77-94"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39276602","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: 7

Fuzzy Models of Choice of Prevention Schemes for the Occurrence and Development of Gangrene of the Lower Extremities. 下肢坏疽发生发展预防方案选择的模糊模型。

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/critrevbiomedeng.2022038502

N. Korenevskiy, A. Bykov, R. Al-kasasbeh, A. Aikeyeva, M. Alshamasin, S. Rodionova, Maksim Ilyash, S. Parkhomenko, Moaath Musa Al-Smadi, Mohammad Al-Jundi

{"title":"Fuzzy Models of Choice of Prevention Schemes for the Occurrence and Development of Gangrene of the Lower Extremities.","authors":"N. Korenevskiy, A. Bykov, R. Al-kasasbeh, A. Aikeyeva, M. Alshamasin, S. Rodionova, Maksim Ilyash, S. Parkhomenko, Moaath Musa Al-Smadi, Mohammad Al-Jundi","doi":"10.1615/critrevbiomedeng.2022038502","DOIUrl":"https://doi.org/10.1615/critrevbiomedeng.2022038502","url":null,"abstract":"The study focuses on the choice of prevention schemes of the appearance and recurrence of gangrene of the lower extremities, depending on any of the degrees of confidence that the patient will have gangrene or will experience its relapse. The degree of confidence is determined using the fuzzy logic of decision making on the relevant membership functions. For each of the selected classes, an appropriate prevention scheme has been developed, the effectiveness of which was tested using the theory of measuring latent variables and the synthesis of mathematical models of their choice depending on the degree of risk of the occurrence and recurrence of lower extremities gangrene. Model statistical tests showed that compared with traditional prevention schemes the use of the proposed models can increase the rate of positive results in the absence of lower extremities gangrene and reduce the possibility of relapse (recurrent changes by 42%, risk of amputation by 35%).","PeriodicalId":53679,"journal":{"name":"Critical Reviews in Biomedical Engineering","volume":"49 5 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67421291","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: 3

Antibacterial and Biological Behavior of TiO2 Nanotubes Produced by Anodizing Technique. 阳极氧化法制备TiO2纳米管的抗菌和生物行为。

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/CritRevBiomedEng.2021037758

Robinson Aguirre Ocampo, Félix E Echeverria

引用次数: 6

Biomechanical Effect of Irrigants in Noninstrumented Dentin: Systematic Review and Meta-Analysis. 冲洗剂在非器械牙本质中的生物力学效应:系统回顾和荟萃分析。

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/CritRevBiomedEng.2021038065

Leidy Julieth Navarrete Mendoza, Astrid Cañón Montoya, Talia Yolanda Marroquín Peñaloza, Claudia García Guerreroc

{"title":"Biomechanical Effect of Irrigants in Noninstrumented Dentin: Systematic Review and Meta-Analysis.","authors":"Leidy Julieth Navarrete Mendoza, Astrid Cañón Montoya, Talia Yolanda Marroquín Peñaloza, Claudia García Guerreroc","doi":"10.1615/CritRevBiomedEng.2021038065","DOIUrl":"https://doi.org/10.1615/CritRevBiomedEng.2021038065","url":null,"abstract":"One aspect of special concern in endodontics is the effect of irrigating solutions on the biomechanical properties of dentine. A systematic review of in vitro studies was conducted to analyze and systematize the effect of endodontic irrigating solutions on biomechanical properties in noninstrumented dentine, according to published in vitro studies. A literature review was conducted on different databases including papers from 2009 to 2019. Two researchers identified in vitro studies on permanent teeth root dentine that reported control group, featured nonmechanical preparation, and sample size ≥ 10. An instrument was designed for bias assessment in three categories (High-Uncertain-Low), applying 17 criteria. Using the PRISMA tool, an electronic search found 9,026 titles. From these, 28 were subjected to full-text analysis and 9 were chosen for qualitative analysis. It was identified that chelates decrease microhardness and stiffness. It was also inferred that the proteolytic effect of NaOCl reduces the elasticity modulus and flexural strength. The heterogeneity analysis, with a value I2:92% for microhardness and I2:81% for roughness, revealed high heterogeneity among the included studies. The random effect model identified with 95% confidence that NaOCl and EDTA significantly decrease microhardness: -3.00[-4.22, -1.78]; EDTA 17% at 15 min being on average the lowest value: -6.66[-8.32, -5.00]. For roughness, all the proposed solutions increased significantly: 2.37[1.67, 3.08]; the highest, 3.94[2.84, 5.04], was recorded by NaOCl2.5%-15 min. In contrast, CLX registered a high roughness value: 3.33[1.88, 4.77]. Dentinal microhardness reduction associated to chelates is a concentration and time- dependent variable. Collagen degradation by NaOCl is a time and concentration-dependent variable.","PeriodicalId":53679,"journal":{"name":"Critical Reviews in Biomedical Engineering","volume":"49 2","pages":"53-64"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39746603","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

EHMO-Based Deep ResNet for Survival Timeline Prediction of Adenocarcinoma Cancer. 基于ehmo的深度ResNet用于腺癌生存时间预测。

Critical Reviews in Biomedical Engineering Pub Date : 2021-01-01 DOI: 10.1615/critrevbiomedeng.2021039287

M. Shanid, A. Anitha

{"title":"EHMO-Based Deep ResNet for Survival Timeline Prediction of Adenocarcinoma Cancer.","authors":"M. Shanid, A. Anitha","doi":"10.1615/critrevbiomedeng.2021039287","DOIUrl":"https://doi.org/10.1615/critrevbiomedeng.2021039287","url":null,"abstract":"Lung cancer is due to the growth of uncontrolled cells in the lungs, and the death rate is high compared with all types of cancer. It is recognized and treated using images of computed tomography (CT). This paper develops the elephant herding magnetic optimization-based deep residual network (EHMO-based Deep ResNet) for survival timeline prediction in adenocarcinoma. Here, preprocessing is performed using a Gaussian filter for the lung CT image. The preprocessed image is subjected to lung lobe segmentation, which is performed by the active contour model. Nodule identification locates nodules in the segmented image, where the process is carried out using a grid-based scheme. After that, feature extraction is carried out to extract intensity, wavelet, tetrolet transform, local optimal oriented pattern (LOOP), and clinical features. Finally, the extracted features are fed to the prediction module, which is based on the Deep ResNet classifier, which is trained by the proposed EHMO optimization algorithm. Here, the developed EHMO combines elephant herding optimization (EHO) and the magnetic optimization algorithm (MOA). The developed adenocarcinoma survival timeline prediction technique exhibits efficient performance in terms of accuracy, 0.955; maximal sensitivity, 0.962; and high specificity, 0.958.","PeriodicalId":53679,"journal":{"name":"Critical Reviews in Biomedical Engineering","volume":"49 3 1","pages":"17-30"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67421227","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