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2009 International Conference on Biomedical and Pharmaceutical Engineering最新文献

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Genome-Wide Association study for glaucoma 青光眼的全基因组关联研究
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384083
Jiang Liu, Zhuo Zhang, S. M. Chin, Yikying Teo, W. K. Wong, N. Tan, Joo-Hwee Lim, Shijian Lu, Huiqi Li, T. Wong
The Genome-Wide Association (GWA) study is the latest approach in the development of genetic studies and is renowned for its widespread success in identifying disease variants within the genome for various common diseases. It is a highly popular study amongst geneticists worldwide, evident from the numerous GWA studies conducted in laboratories all over the world. This paper introduces various GWA study designs currently recognized, including other aspects such as the software tools and its progress thus far. Especially, the paper reviews the genetic studies for glaucoma, an ocular disease which can lead to irreversible and permanent vision loss. Glaucomatous progression can be slowed or even halted if detected early; however, genetic information on glaucoma has not been well established yet. Therefore, by conducting a GWA study on glaucoma to find comprehensive associated genetic variants, the early detection of glaucoma through GWA may finally be seen as a possibility.
全基因组协会(genome - wide Association, GWA)的研究是遗传研究发展的最新方法,并因其在识别各种常见疾病的基因组内疾病变异方面取得的广泛成功而闻名。这是一项在全世界遗传学家中非常受欢迎的研究,从世界各地实验室进行的众多GWA研究中可以看出。本文介绍了目前公认的各种GWA研究设计,包括软件工具等方面以及迄今为止的进展。本文特别综述了青光眼的遗传学研究,这是一种可导致不可逆和永久性视力丧失的眼部疾病。如果早期发现,青光眼的进展可以减缓甚至停止;然而,青光眼的遗传信息尚未得到很好的确定。因此,通过对青光眼进行GWA研究,发现全面的相关遗传变异,最终有望通过GWA早期发现青光眼。
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引用次数: 0
Structural and fluid transport characterization of bio-scaffolds based on 3D imaging data 基于三维成像数据的生物支架结构和流体传输表征
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384076
B. Notarberardino, P. Young, G. Tabor, Liang Hao, I. Turner, A. Harkara
Bio-scaffolds which are most commonly open celled porous structures are increasingly used for tissue engineering and regenerative medicine. Numerical studies exploring the influence of architecture on structural and flow characteristics of porous media have been carried out but these studies almost exclusively assume an idealized repeating unit cell approach. However, most of the traditional techniques employed to manufacture bio-scaffolds do not result in uniform pore sizes and connectivities. A number of studies have shown that the bulk properties of such irregular structures are poorly modeled using idealized unit cell approaches. Therefore, accurate modeling of bio-scaffolds with non-uniform cellular structures is very important for the development of optimal scaffolds for tissue engineering application. The paper will use novel image based meshing techniques to explore both fluid flow and bulk structural properties of a bone scaffold. The work highlights the potential use of image based meshing for the ad hoc characterization of scaffolds as well as for assisting in the design of scaffolds with tailored strength, stiffness and transport properties.
生物支架是最常见的开细胞多孔结构,在组织工程和再生医学中应用越来越广泛。探索结构对多孔介质结构和流动特性影响的数值研究已经开展,但这些研究几乎完全假设了理想的重复单元胞方法。然而,大多数用于制造生物支架的传统技术不能产生均匀的孔隙大小和连通性。许多研究表明,这种不规则结构的体积特性使用理想的单位细胞方法是很差的。因此,对具有非均匀细胞结构的生物支架进行精确建模,对于开发适合组织工程应用的最佳支架具有重要意义。本文将使用新的基于图像的网格技术来探索骨支架的流体流动和整体结构特性。这项工作强调了基于图像网格的潜在用途,用于支架的特别表征,以及协助设计具有量身定制的强度,刚度和运输特性的支架。
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引用次数: 3
A voting and predictive Neural Network system for use in a new artificial Larynx 一种用于新型人工喉的投票和预测神经网络系统
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384105
M. J. Russell, D. Rubin, T. Marwala, B. Wigdorowitz
A new artificial Larynx is currently under development at the University of the Witwatersrand, Johannesburg. This device uses dynamic tongue movement from a palatometer system to infer what the user is trying to say. Feature selection algorithms extract information from the palatometer data and are then used as input to a Multi-Layer Perceptron Neural Network. This paper deals with improving the success rate of the Neural Networks by using a voting system as well as a word prediction system. By using a voting system unknown non-rejected input words were correctly identified 93.5% of the time, while the system has a rejection rate of 17.36%. A set of grammar rules were developed for the word set and this improved the number of correct unknown, non-rejected words to 94.14% but increased the rejection rate to 17.74%.
约翰内斯堡的威特沃特斯兰德大学目前正在开发一种新的人工喉头。这个装置利用舌测系统的动态舌头运动来推断使用者想要说什么。特征选择算法从测腭数据中提取信息,然后作为多层感知器神经网络的输入。本文讨论了使用投票系统和单词预测系统来提高神经网络的成功率。通过使用投票系统,未知的未被拒绝的输入词的正确率为93.5%,而系统的拒绝率为17.36%。为单词集开发了一套语法规则,这将正确的未知、未被拒绝的单词数量提高到94.14%,但将拒绝率提高到17.74%。
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引用次数: 2
In silico modeling of pharmaceutical formulation using artificial neural networks 用人工神经网络进行药物配方的计算机建模
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384085
S. Piriyaprasarth, V. Patomchaiviwat, P. Sriamonsak
The objective of this study was to develop neural network model of drug release from HPMC matrix tablets in terms of formulation factors and process variables. The physicochemical properties of the drug and HPMC and manufacturing process were investigated and used as independent factors. The % cumulative release of different drugs from hyroxypropylmethylcellulose (HPMC) matrix tablets was used as the response factors. The correlation between causal factors and response factor was examined using feed-forward back-propagation neural networks. The in silico model was optimized by considering goodness-of-fit and cross-validated predictability. A “leave-one-out” cross-validation revealed that the neural network model could predict release properties of drug from HPMC tablets with a reasonable accuracy (predictive r2 of 0.73–0.89 and predictive root mean square error of 1.68–8.90). The predictive ability of these models was validated by a set of 3 formulations that were not included in the training set. The predicted and observed cumulative releases (%) were well correlated.
本研究的目的是建立基于处方因素和工艺变量的HPMC基质片药物释放神经网络模型。研究了药物的理化性质和HPMC的制备工艺,并将其作为独立因素。以羟丙基甲基纤维素(HPMC)基质片中不同药物的累积释放率为影响因素。利用前馈反向传播神经网络研究了因果因素与响应因素之间的相关性。通过考虑拟合优度和交叉验证的可预测性对模型进行优化。交叉验证结果表明,神经网络模型能较好地预测HPMC片剂的药物释放特性(预测r2为0.73 ~ 0.89,预测均方根误差为1.68 ~ 8.90)。这些模型的预测能力通过一组未包含在训练集中的3个公式进行验证。预测和观测的累积释放量(%)具有良好的相关性。
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引用次数: 1
A framework for simulation of UWB system for heart rate detection 一种超宽带心率检测系统的仿真框架
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384093
M. Baboli, A. Sharafi, A. Ahmadian, S. Karimifard
Ultra-Wide Band (UWB) signals have become attractive for their particular advantage of having narrow pulse width which makes them suitable for remote sensing of vital signals. In this work, a MATLAB framework is presented which simulates an environment whereby the UWB signals can be observed and evaluated at different locations of the simulated channel for wireless measurement of heart rate. Main parts of the simulated system include UWB signal generator, transmitter and receiver, channel model which contains human body. The proposed system enables us to evaluate the effect of different parameters, such as thickness of channel layers and heart motion parameters on the accuracy of heart rate measurement. One of the main features of this work is employing a five layers channel model with arbitrary attenuation parameters defined by user for simulation of human body. In our experiments attenuation of transmitted Gaussian monocycle pulse centered at 4GHz frequency in each layer with different thickness for all existing multipath are calculated. Moreover, the effects of receiver sensitivity and three types of irregularities in the accuracy of measured heart rates are investigated.
超宽带(UWB)信号以其具有窄脉冲宽度的特殊优点而受到人们的青睐,这使得超宽带信号适合于生命信号的遥感。在这项工作中,提出了一个MATLAB框架,它模拟了一个环境,在这个环境中,可以在模拟信道的不同位置观察和评估UWB信号,用于无线测量心率。仿真系统的主要部分包括UWB信号发生器、发射机和接收机、包含人体的信道模型。该系统能够评估通道层厚度和心脏运动参数等不同参数对心率测量精度的影响。本工作的主要特点之一是采用用户自定义任意衰减参数的五层通道模型来模拟人体。在实验中,我们计算了在现有的所有多径下,在不同厚度的每一层中以4GHz为中心的高斯单环脉冲的传输衰减。此外,研究了接收器灵敏度和三种类型的不规则性对测量心率准确性的影响。
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引用次数: 4
MiBank: A web-based integrated medical information system for traumatic brain injury MiBank:基于网络的创伤性脑损伤综合医疗信息系统
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384100
Suisheng Tang, Zhuo Zhang, B. Pang, C. Lim, B. Ang, C. Lee, C. Tan, Tianxia Gong, Ruizhe Liu, Qi Tian
Approximately ten million people in the world suffer from traumatic brain injury (TBI) each year. A total of $60 billion cost due to TBI was estimated in the United States in year 2000. To reduce the burden more clinical research and education are required. In this study we developed MiBank, a web-based integrated TBI information system, to enable rapid access to both digital images and associated text reports for audit, education and research. MiBank contains more than 30,000 brain computed tomography (CT) images from over 500 patients and is equipped with functional options to search, compare, summarize and annotate CT images, radiology reports and clinician remarks online. The image annotation function is designed to enable clinicians and researchers to capture and display domain expert knowledge, and a discussion forum function encourages active communication and sharing. Emphasizing confidentiality of anonymised data and access control, MiBank provides a virtual collaboration platform integrating various clinical data sets for research and continuing education. As an online information system, it eliminates the restrictions of the traditional isolated DICOM workstations. MiBank can potentially support remote consulting and statistical analysis of aggregated multimodality data. Although MiBank is designed and implemented for TBI, it may be extended and customized to study other clinical disorders. In this report, we share our learning experience through user survey and also propose a future plan to improve the system. MiBank may be accessible by researchers and clinicians on request.
世界上每年大约有一千万人遭受创伤性脑损伤(TBI)。据估计,2000年美国因脑外伤造成的总费用为600亿美元。为了减轻负担,需要更多的临床研究和教育。在这项研究中,我们开发了MiBank,这是一个基于网络的综合TBI信息系统,可以快速访问审计,教育和研究的数字图像和相关文本报告。MiBank包含来自500多名患者的30,000多张脑计算机断层扫描(CT)图像,并配备了在线搜索、比较、总结和注释CT图像、放射学报告和临床医生评论的功能选项。图像注释功能旨在使临床医生和研究人员能够捕获和显示领域专家知识,讨论论坛功能鼓励积极的交流和分享。MiBank强调匿名数据的保密性和访问控制,为研究和继续教育提供了一个集成各种临床数据集的虚拟协作平台。作为一个在线信息系统,它消除了传统的孤立的DICOM工作站的限制。MiBank可能支持远程咨询和汇总多模态数据的统计分析。虽然MiBank是为TBI设计和实现的,但它可以扩展和定制,以研究其他临床疾病。在这份报告中,我们通过用户调查分享了我们的学习经验,并提出了未来改进系统的计划。研究人员和临床医生可以根据要求访问MiBank。
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引用次数: 5
Synergism from combination of platinums in ovarian cancer 复方铂治疗卵巢癌的增效作用
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384108
F. Huq, A. Alshehri, P. Beale, J. Q. Yu
The present study shows that combinations of cisplatin and YH12 produce sequence- and concentration-dependent synergism in human ovarian cancer cell lines A2780 and A2780cisR. Addition of YH12 followed by cisplatin 4 h later or addition of the two compounds at the same time produces synergism whereas the addition of cisplatin first followed by YH12 4 h later results into antagonism. If the results are found to be true in vivo, they may have profound implication in the design of combination therapy.
本研究表明,顺铂与YH12联合对人卵巢癌细胞系A2780和A2780cisR产生序列依赖性和浓度依赖性的协同作用。YH12 4 h后加入顺铂或两种化合物同时加入产生协同作用,而先加入顺铂4 h后加入YH12则产生拮抗作用。如果这些结果在体内被证实是正确的,它们可能对联合治疗的设计具有深远的意义。
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引用次数: 0
Prediction of Paroxysmal Atrial Fibrillation by dynamic modeling of the PR interval of ECG 心电图PR间期动态建模预测阵发性心房颤动
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384063
Mahnaz Arvaneh, Hamed Ahmadi, A. Azemi, M. Shajiee, Z. S. Dastgheib
In this work, we propose a new method for prediction of Paroxysmal Atrial Fibrillation (PAF) by only using the PR interval of ECG signal. We first obtain a nonlinear structure and parameters of PR interval by a Genetic Programming (GP) based algorithm. Next, we use the neural networks for prediction of PAF. The inputs of the neural networks are the parameters of nonlinear model of the PR intervals. For the modeling and prediction we have limited ourselves to only 30 seconds of an ECG signal, which is one of the advantages of our proposed approach. For comparison purposes, we have modeled 30 seconds of ECG signals by time based modeling method and have compared prediction results of them.
在这项工作中,我们提出了一种新的预测阵发性心房颤动(PAF)的方法,仅利用心电信号的PR间隔。首先利用遗传规划算法得到了PR区间的非线性结构和参数。接下来,我们使用神经网络对PAF进行预测。神经网络的输入是PR区间非线性模型的参数。对于建模和预测,我们将自己限制在只有30秒的心电信号,这是我们提出的方法的优点之一。为了比较,我们用基于时间的建模方法对30秒的心电信号进行了建模,并对其预测结果进行了比较。
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引用次数: 7
Recognition of follicles in ultrasound images of ovaries using geometric features 利用几何特征识别卵巢超声图像中的卵泡
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384097
P. Hiremath, Jyothi R. Tegnoor
Knowledge about the status of the female reproductive system is important for fertility problems and age related family planning. The volume of these fertility requests in our emancipated society is steadily increasing. Transvaginal ultrasound imaging of the follicles in the ovary gives important information about the ovarian aging, i.e., number of follicles, size, position and response to hormonal stimulation. Manual analysis of many follicles is laborious and error-prone. In this paper, a new method for recognition of follicles in ultrasound images of ovaries is proposed. This fully automated recognition method is based on extraction of geometric features of follicles. The proposed technique is tested on ultrasonographic images of ovaries. The experimental results are compared with inferences drawn by medical expert and demonstrate the efficacy of the method.
了解女性生殖系统的状况对于生育问题和与年龄相关的计划生育非常重要。在我们解放了的社会中,这些生育要求的数量正在稳步增加。卵巢卵泡经阴道超声成像提供卵巢衰老的重要信息,即卵泡的数量、大小、位置和对激素刺激的反应。对许多卵泡进行人工分析既费力又容易出错。本文提出了一种卵巢超声图像中卵泡识别的新方法。这种完全自动化的识别方法是基于提取毛囊的几何特征。该方法在卵巢超声图像上进行了验证。实验结果与医学专家的推断结果进行了比较,验证了该方法的有效性。
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引用次数: 27
Enhancement of optic cup detection from ARGALI using key points 利用关键点增强ARGALI光杯检测
Pub Date : 2009-12-01 DOI: 10.1109/ICBPE.2009.5384072
D. Wong, N. Tan, Jiang Liu, Z. Tan, Y. Tang, Zhuo Zhang, J. Lim, W. J. Ng, Haizhou Li, Shijian Lu, T. Y. Wong
We propose a method for improving the accuracy of the optic cup detected from the ARGALI system. This method makes use of key points from the branching points of large vessels, the analysis of intensity variation and kinks from small vessels to obtain an enhanced optic cup. Measures used to assess the detection of the optic cup showed an 11% and 40% improvement in the mean average overlap and relative area difference respectively over the previous method. The difference in the CDR error was also shown to be reduced to less than 0.1CDR units. The improved optic cup detection is more consistent with the clinical ground truth, facilitating its use in ARGALI for mass screening for glaucoma for early detection to save sight.
我们提出了一种提高ARGALI系统光杯检测精度的方法。该方法利用大血管分支点的关键点,分析小血管的强度变化和扭结来获得增强光学杯。用于评估光学杯检测的措施显示,与之前的方法相比,平均重叠和相对面积差分别提高了11%和40%。CDR误差的差异也显示减少到小于0.1CDR单位。改进后的视杯检测更符合临床基础事实,便于在ARGALI中进行青光眼的大规模筛查,早期发现,挽救视力。
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引用次数: 3
期刊
2009 International Conference on Biomedical and Pharmaceutical Engineering
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