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Modular FPGA-based digital ultrasound beamforming 基于模块化fpga的数字超声波束形成
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752083
M. Hassan, A. Youssef, Y. Kadah
The evaluation of ultrasound system is measured by the development in analog and digital electronics. A modular field programmable gate array (FPGA)-based digital ultrasound beamforming is presented. The digital beamforming is implemented in Virtex-5 FPGA. The objective of this work is to develop a modular low-cost PC-based digital ultrasound imaging system that has almost all of its processing steps done on the PC side. The system consists of: two 8 channels block and reconstructed line block. The 8 channel block consist of: memory block to save the samples data after converted to fixed point type, delay block implemented by addressable shift register — the delay process is based on sampled delay focusing (SDF) — and M-code block applied the summation of each RF channel samples. The reconstructed block consists of pipelined adder to apply the summation of the two 8 channels blocks. The power consumption and device utilization was acceptable. Also it is possible to build 16-,32-,64-, and 128-channel beamformer. The hardware architecture of the design provided flexibility for beamforming.
超声系统的评价是通过模拟和数字电子学的发展来衡量的。提出了一种基于模块化现场可编程门阵列(FPGA)的数字超声波束形成方法。数字波束形成在Virtex-5 FPGA上实现。这项工作的目的是开发一种基于PC的模块化低成本数字超声成像系统,几乎所有的处理步骤都在PC端完成。该系统由两个8通道块和重构线块组成。8通道块包括:存储块用于保存转换后的采样数据到定点类型,延迟块由可寻址移位寄存器实现-延迟过程基于采样延迟聚焦(SDF) - m码块应用于每个RF通道样本的求和。重建块由流水线加法器组成,用于应用两个8通道块的总和。功耗和设备利用率均可接受。此外,还可以构建16、32、64和128通道波束形成器。该设计的硬件结构为波束形成提供了灵活性。
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引用次数: 6
Sleep spindles analysis using sparse bump modeling 使用稀疏凹凸模型分析睡眠纺锤波
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752059
Zahra Ghanbari, M. Najafi, M. Shamsollahi
Sleep Spindle is the hallmark of the second stage of sleep in EEG signal. It had been analyzed using different methods, including Fourier transform, parametric and non-parametric models, higher order statistics and spectra, and also time-frequency methods such as wavelet transform, and matching pursuit. In this study, bump modeling has been used to analyze sleep spindle. Bump modeling is a method which represents the time-frequency map of signals with a number of elementary functions. Results of this work demonstrate that bump modeling is capable of analyzing different sleep spindle patterns in sleep EEG signals successfully.
睡眠纺锤波是脑电图信号中睡眠第二阶段的标志。利用傅里叶变换、参数和非参数模型、高阶统计量和谱,以及小波变换等时频方法和匹配追踪等方法对其进行了分析。本研究采用凹凸模型分析睡眠纺锤波。凹凸建模是一种用若干初等函数表示信号时频映射的方法。研究结果表明,凹凸模型能够成功地分析睡眠脑电图信号中不同的睡眠纺锤波模式。
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引用次数: 0
Packet parsing problem solving on mobile low energy client of Biotelemetry system 生物遥测系统移动低能耗客户端的数据包解析问题求解
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752139
D. Janckulík, Leona Motalova, O. Krejcar, J. Cernohorský
The most important parts of our Biotelemetry system is a hardware platform. If we could develop visualization, we must have to measure real data. They are two main choices to solve this part of system. We can use commercial devices, such as embedded PCs, PDAs and wireless ECG unit Blue ECG communicating via Bluetooth. Suggests major problems and disadvantages of their use and offers possible solutions in the form of construction of our own purpose-built equipment. Whether in the form of small auxiliary hardware and design options ECG units optimized for low power consumption and collaboration with mobile devices with limited computing capabilities. We also describe here the real-time response time of packet parsing problem.
我们的生物遥测系统最重要的部分是硬件平台。如果我们能发展可视化,我们必须测量真实的数据。它们是解决这部分系统的两种主要选择。我们可以使用商用设备,如嵌入式pc, pda和无线心电单元Blue ECG通过蓝牙进行通信。建议其使用的主要问题和缺点,并以建造我们自己的专用设备的形式提供可能的解决方案。无论是以小型辅助硬件和设计选项的形式优化心电单元,以实现低功耗和与计算能力有限的移动设备的协作。本文还描述了数据包解析问题的实时响应时间。
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引用次数: 0
ECG data compression for mobile phone tele-cardiology applications using .NET framework 基于。net框架的手机远程心电数据压缩应用
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752101
I. Rezazadeh, Sanaz Parvaresh, M. Zargar, Joshua Proulx
In this work, we have implemented DCT data compression and a run-length approach to compress an ECG data signal and send the compressed data via a Bluetooth device to a mobile phone on which a .Net platform application has been installed. After reception of the compressed data, the original signal will be retrieved by the inverse DCT algorithm using the built-in application. The results have shown good compression performance indices. Transmission time is reduced due to the necessity of the energy conservation of the mobile battery and online application of telecardiology.
在这项工作中,我们实现了DCT数据压缩和一种运行长度的方法来压缩心电数据信号,并通过蓝牙设备将压缩后的数据发送到安装了。net平台应用程序的手机上。在接收到压缩数据后,使用内置应用程序通过逆DCT算法检索原始信号。结果表明,该材料具有良好的压缩性能指标。由于移动电池的节能和远程心电在线应用的需要,缩短了传输时间。
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引用次数: 2
Energy efficient analog to digital converter in 90nm CMOS 90纳米CMOS节能模数转换器
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752151
M. Zarifi
Multi-electrode array devices are widely considered for sensing a large amount of neural data in implantable applications. In such systems power and area are playing most important roll in design and implementation. This paper presents a low power, variable bits and small area analog to digital converter (ADC) for biopotential and neural signals-recording applications. This work has been simulated in standard 90 nm 1P9M CMOS with sample rate of 1Ms/sec and variable precision of 7 to 12 bits. The standby (no input signal) power dissipation of the ADC is 500 nW and full-scale signal conversion is 7.8 μW from a single 1.2-V supply.
在植入式应用中,多电极阵列装置被广泛用于传感大量神经数据。在这样的系统中,功率和面积在设计和实现中起着最重要的作用。本文介绍了一种低功耗、可变位和小面积的模拟数字转换器(ADC),用于生物电位和神经信号的记录。该工作已在标准的90 nm 1P9M CMOS上进行了模拟,采样率为1m /s,可变精度为7 ~ 12位。该ADC的待机(无输入信号)功耗为500nw,单路1.2 v电源的满量程信号转换为7.8 μW。
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引用次数: 1
Artificial organs design: Towards the integration of disciplines 人工器官设计:走向学科整合
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752096
G. Catapano
In this paper, the evolution of design methods is briefly analyzed and discussed with reference to artificial organs intended to substitute for metabolic bodily functions. In the last seventy years, the methods of artificial organ design have evolved towards a more systematic approach that more and more accounts for biological issues (man-machine interfaces, biocompatibility issues, etc.) to the point that at the forefront of research the design paradigm is shifting from fully synthetic mechanical/electronic prostheses towards the development in vitro of tissue engineered replacement organs/tissues, where the artificial part is fully integrated with the biological counterpart. To keep up with this complex scenario, design methods have shifted: from an experiments-based to the methodical approach; from one to multiple objective functions; from focusing on one single process to multiple concurring processes, often differing in time and space scale; from seeking solutions consisting of one device to many coupled devices; from seeking a generic solution for all patients' needs to seeking personalized solutions for each patient, so that the patient should not adapt to an existing device or implant, but it is the device or implant that has to adapt to the patients' specific needs and circumstances. The impact of this evolution in design on the way courses in biomedical engineering are organized and taught in Europe is also briefly analyzed and discussed.
本文就人体代谢性功能的人造器官的设计方法的演变作一简要的分析和讨论。在过去的七十年里,人工器官设计的方法已经发展到一个更加系统化的方法,越来越多地考虑到生物问题(人机界面,生物相容性问题等),以至于在研究的前沿,设计范式正在从完全合成的机械/电子假体转向体外组织工程替代器官/组织的发展。人工部分与生物部分完全结合。为了跟上这种复杂的情况,设计方法已经发生了转变:从基于实验的方法到系统的方法;从一个目标函数到多个目标函数;从关注单一进程到多个并发进程,往往在时间和空间尺度上有所不同;从寻求由一个器件组成的解决方案到寻求多个耦合器件;从寻求针对所有患者需求的通用解决方案到为每个患者寻求个性化解决方案,这样患者就不应该适应现有的设备或植入物,而是设备或植入物必须适应患者的特定需求和情况。设计的这种演变对欧洲生物医学工程课程的组织和教学方式的影响也进行了简要的分析和讨论。
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引用次数: 2
Classification of human vs. non-human, and subtyping of human influenza viral strains using Profile Hidden Markov Models 利用隐马尔可夫模型对人类与非人类流感病毒株进行分类和分型
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752105
F. F. Sherif, Y. Kadah, M. El-Hefnawi
Influenza is one of the most important emerging and reemerging infectious diseases, causing high morbidity and mortality in communities (epidemic) and worldwide (pandemic). Here, Classification of human vs. non-human influenza, and subtyping of human influenza viral strains virus is done based on Profile Hidden Markov Models. The classical ways of determining influenza viral subtypes depend mainly on antigenic assays, which is time-consuming and not fully accurate. The introduced technique is much cheaper and faster, yet usually can still yield high accuracy. Multiple sequence alignments were done for all human HA subtypes (H1, H2, H3 and H5), and NA subtypes (N1 and N2), followed by profile-HMMs models generation, calibration and evaluation using the HMMER suite for each group. Subtyping accuracy of all HA and NA models achieved 100%, while host classification (human vs. non-human) has accuracies varied between (55.5% and 97.5%) according to HA subtype.
流感是最重要的新发和再发传染病之一,在社区(流行病)和全球(大流行)造成高发病率和死亡率。在这里,人类与非人类流感的分类,以及人类流感病毒株病毒的亚型是基于Profile隐马尔可夫模型进行的。确定流感病毒亚型的经典方法主要依赖抗原测定,这既耗时又不完全准确。所介绍的技术更便宜,更快,但通常仍然可以产生很高的准确性。对所有人类HA亚型(H1, H2, H3和H5)和NA亚型(N1和N2)进行多个序列比对,然后使用HMMER套件对每个组进行profile- hmm模型生成,校准和评估。所有HA和NA模型的亚型分型准确率均达到100%,而宿主分类(人类与非人类)的准确率根据HA亚型在55.5%至97.5%之间。
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引用次数: 2
MVN_CNN and FCNN for endocardial edge detection MVN_CNN和FCNN用于心内膜边缘检测
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752102
H. Ketout, J. Gu, G. Horne
In this paper, Fuzzy Cellular Neural Networks (FCNN) endocardial edge detection is proposed. The echocardiographic image is preprocessed to enhance the contrast and smoothness by utilizing MVN_CNN filtering. FCNN is applied to the smoothed image to extract the heart boundaries. Fuzzy min and max functions are employed. The comparison was made between Fuzzy, CNN and FCNN edge detectors. The FCNN approach showed better results for extracting the LV endocardial edges. Some experimental results are given for different echocardiographic images.
本文提出了模糊细胞神经网络(FCNN)心内膜边缘检测方法。利用MVN_CNN滤波对超声心动图图像进行预处理,增强图像的对比度和平滑度。对平滑后的图像应用FCNN提取心脏边界。采用模糊最小和最大函数。对Fuzzy、CNN和FCNN边缘检测器进行了比较。FCNN方法对左室心内膜边缘提取效果较好。给出了不同超声心动图的实验结果。
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引用次数: 2
Personalised mechatronic valve time-schedule optimiser for hydrocephalus shunt 脑积水分流的个性化机电阀门时间表优化器
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752140
N. Al-Zubi, W. Al-Nuaimy, Mohammad Al-Hadidi
Hydrocephalus is an excessive accumulation of the cerebrospinal fluid (CSF) in the ventricles of the brain, without treatment it leads in brain damage. The usual treatment is a shunt procedure implanted into the ventricles of the brain to drain the excess fluid to another part of the body. Current shunts are controlled by a pressure dependent valve, while recent developed shunts are utilising mechatronic valves. Compared to the current differential pressure valves, mechatronic valves are regulated by time-based schedule rather than differential pressure across the valve. Therefore, it is important that this time schedule is chosen properly for each patient so that a normal ICP is preserved. Choosing proper time schedule for each patient is still one of the challenges facing the implementation of such valves. This work presents a new method to propose optimal valve time-schedule using an ICP dynamics model and patient's ICP traces, so that shunt valves can be configured accordingly. This method presents a precise and efficient way of how the ICP model can be utilised in evaluating the patient's ICP traces and hence proposing a personalised optimal valve time-schedule as a function of mean measured ICP for each individual patient that can keep the ICP within the normal levels.
脑积水是脑脊液(CSF)在脑室的过度积聚,如果不进行治疗,就会导致脑损伤。通常的治疗方法是在脑室植入分流术,将多余的液体排出到身体的另一部分。电流分流由压力相关阀控制,而最近开发的分流使用机电阀。与目前的差压阀相比,机电阀是通过基于时间的调度来调节的,而不是通过阀上的压差。因此,为每位患者选择合适的时间安排以保留正常的ICP是很重要的。为每位患者选择合适的时间安排仍然是实施此类瓣膜所面临的挑战之一。本文提出了一种利用ICP动力学模型和患者的ICP轨迹来提出最佳瓣膜时间表的新方法,从而可以相应地配置分流阀。该方法提供了一种精确而有效的方法,如何利用ICP模型来评估患者的ICP轨迹,从而提出个性化的最佳瓣膜时间表,作为每个患者平均测量ICP的函数,可以将ICP保持在正常水平。
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引用次数: 1
Novel porous gelatin/bioactive glass scaffolds with controlled pore structure engineered via compound techniques for bone tissue engineering 新型多孔明胶/生物活性玻璃支架,通过复合技术控制孔隙结构,用于骨组织工程
Pub Date : 2011-04-19 DOI: 10.1109/MECBME.2011.5752076
M. Mozafari, F. Moztarzadeh
In this research, novel nanocomposite scaffolds with compositions based on cross-linked gelatin (Gel) and bioactive glass (BaG) nanoparticles in the ternary SiO2-CaO-P2O5 system were prepared and fully characterized. The scanning electron microscopy (SEM) observations revealed that the prepared scaffolds were porous with three dimensional (3D) and interconnected microstructure, pore size was 200–500 µm and the porosity was 72–86%. It is worth mentioning that the density (ρ) and the porosity percentages of the prepared samples were in the range of natural spongy bone and also, comparison between specific elastic modulus (E/ρ) indicated that their properties were very close to natural bone. In addition, the bone-like apatite formation at the surface of the samples was confirmed by different analyses. In vitro experiments with osteoblast cells indicated an appropriate penetration of the cells into the scaffold's pores, and also the continuous increase in cell aggregation on the scaffolds with increase in the incubation time demonstrated the ability of the scaffolds to support cell growth. Thus, the scaffolds could be considered as highly promising materials for bone tissue engineering applications.
在本研究中,制备了基于交联明胶(Gel)和生物活性玻璃(BaG)纳米颗粒的新型纳米复合支架,并对其三元SiO2-CaO-P2O5体系进行了表征。扫描电镜(SEM)观察表明,所制备的支架具有多孔性,具有三维(3D)互联的微观结构,孔径为200 ~ 500µm,孔隙率为72 ~ 86%。值得一提的是,制备的样品的密度(ρ)和孔隙率在天然海绵骨的范围内,比弹性模量(E/ρ)的比较表明,它们的性能与天然骨非常接近。此外,通过不同的分析证实了样品表面的骨状磷灰石形成。体外成骨细胞实验表明,成骨细胞可以适当地渗透到支架的孔隙中,并且随着培养时间的增加,支架上的细胞聚集不断增加,这表明支架具有支持细胞生长的能力。因此,该支架在骨组织工程中应用前景广阔。
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引用次数: 7
期刊
2011 1st Middle East Conference on Biomedical Engineering
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