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2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings最新文献

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Quantitative detection of Escherichia coli and measurement of urinary tract infection diagnosis possibility by use of a portable, handheld sensor 便携式、手持式传感器对大肠杆菌的定量检测及尿路感染诊断可能性的测定
Shilun Feng, L. Roseng, T. Dong
Electrochemical nitrite sensor was used to quantitatively detect the nitrite concentration in urine and by building the approximate relationship between the nitrite concentration and number of E.coli bacterias, electrochemical nitrite sensor can count the numbers of Escherichia coli and do the Urinary Tract Infection (UTI) Diagnosis. Electrochemical nitrite sensor was assembled and calibrated, the artificial urine sample was detected; the feasibility of electrochemical nitrite sensor including the errors effect had been checked and proved at around -5.1~2.3%; the possibility to detect artificial UTI urine sample out is around 95.5%; the approximate relationship between the number of E.coli and electrode potential had been built as E=228.3193-3.78225×Ln (N+2.29101e6), thereby building the relationship between UTI possibilities and the measurement. Finally, the conception and design of electrochemical sensor array had been made, thus to measure different biomarkers for the maximum possibilities of UTI and can show the data of the possibility of UTI directly on the screen. Furthermore, it can easily be used and transported for the home-users or patients in hospitals.
应用电化学亚硝酸盐传感器定量检测尿中亚硝酸盐浓度,并通过建立亚硝酸盐浓度与大肠杆菌数量的近似关系,对尿中大肠杆菌数量进行计数,进行尿路感染诊断。组装并校准电化学亚硝酸盐传感器,对人工尿液样本进行检测;考察了电化学亚硝酸盐传感器在-5.1~2.3%范围内误差效应的可行性;人工尿路感染检出率约为95.5%;建立了大肠杆菌数量与电极电位之间的近似关系为E=228.3193-3.78225×Ln (N+2.29101e6),从而建立了UTI可能性与测量值之间的关系。最后,提出了电化学传感器阵列的概念和设计,从而测量不同生物标志物的UTI的最大可能性,并可以直接在屏幕上显示UTI的可能性数据。此外,它可以方便地为家庭用户或医院的病人使用和运输。
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引用次数: 12
Preliminary measurements of elasticity properties of lung tumor living cells for cancer detection 用于肺癌检测的肺肿瘤活细胞弹性特性的初步测量
A. Demichelis, C. Divieto, L. Mortati, M. Sassi, G. Sassi
Recent studies recognized the cell stiffness changes as a marker for cancer detection. Reliable and reproducible measurements of elastic modulus, mapping different cell regions are the basis for developing a new methodology for cancer detection. To this aim, a metrological characterized AFM microscope has been developed, micro- and nano-indentation of soft materials, used as elastic modulus reference, were done and a robust statistical data analysis has been performed. Contact images and force mapping of A549 living cells allowed 4% measurement relative reproducibility. A modal cell elastic modulus 0.5 kPa, was obtained. A highly spatially resolved stiffness distribution on the overall cell regions has been obtained through data analysis, realizing a powerful tool for cell mechanics analysis.
最近的研究认识到细胞硬度的变化是癌症检测的一个标志。可靠和可重复的弹性模量测量,绘制不同的细胞区域是开发癌症检测新方法的基础。为此,研制了一种具有计量特征的AFM显微镜,以软质材料的微纳压痕作为弹性模量的参考,并进行了稳健的统计数据分析。接触图像和A549活细胞的力图允许4%的测量相对重复性。模态单元弹性模量为0.5 kPa。通过数据分析,获得了胞体整体区域高度空间分辨的刚度分布,为胞体力学分析提供了有力的工具。
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引用次数: 1
Digital chest tomosynthesis: The main steps to a computer assisted lung diagnostic system 数字胸部断层合成:计算机辅助肺部诊断系统的主要步骤
D. Hadhazi, R. Varga, Á. Horváth, Benjamin Czétényi, G. Horváth, Á. Horváth
In this paper, we present the main parts of a complete lung diagnostic system using digital tomosynthesis, and the first results obtained analyzing real tomosynthesis (DTS) images. In a DTS system first coronal image slices are reconstructed from projections using iterative and MITS reconstruction algorithms. Nodule detection is based on 2D image processing on the separated slice images, and a joint further analysis of the 2D results. We propose efficient, domain-specific filters for the enhancement and classification of bright, rounded structures. Also we develop a vessel enhancing algorithm based on strain energy filters. Vessel enhancement is required because most of the false positive findings come from nodule-like vessel shadows in the images. To reduce false positive findings SVM-based classifiers are applied, where features obtained from the vessel enhancement module are used as inputs. The system was evaluated on the first DTS scans, obtained from our experimental DTS system. The database contains ~2000 nodule candidates. 97% of nodules could be detected, while producing on average 31 false positives per scan.
在本文中,我们介绍了一个完整的肺诊断系统的主要部分,并通过分析真实的断层合成(DTS)图像获得了第一个结果。在DTS系统中,首先使用迭代和MITS重建算法从投影重建冠状图像切片。结节检测是基于二维图像对分离的切片图像进行处理,并对二维结果进行联合进一步分析。我们提出了有效的,特定于领域的滤波器,用于增强和分类明亮的圆形结构。同时提出了一种基于应变能滤波的血管增强算法。血管增强是必要的,因为大多数假阳性结果来自图像中的结节样血管阴影。为了减少假阳性结果,应用基于svm的分类器,其中从血管增强模块获得的特征用作输入。该系统在我们的实验DTS系统获得的第一次DTS扫描上进行了评估。该数据库包含约2000个候选结节。97%的结节可以被检测到,而每次扫描平均产生31个假阳性。
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引用次数: 3
NIRS assessment of brain hemodynamics 近红外光谱评估脑血流动力学
V. Agostini, D. Paradiso, F. Molinari, D. Rimini, M. Knaflitz, W. Liboni
Near Infrared Spectroscopy (NIRS) allows for assessing brain hemodynamics non-invasively. In NIRS studies, the maneuver of breath holding is frequently used as an activation of the brain autoregulation response. However, breath holding is not always feasible or effective in the clinical practice. We explored the possibility of using kapalabathi, an ancient yoga respiration technique, as an alternate activation maneuver. We studied the brain oxygenation response to kapalabathi, in yoga practitioners, in three different postures. In all the three postures considered Kapalabathi produces a measurable effect on the oxygen availability at the brain cortex level. Remarkable differences were observed in the brain autoregulatory response of smoker and non-smoker practitioners.
近红外光谱(NIRS)可以无创地评估脑血流动力学。在近红外光谱研究中,屏气动作经常被用作激活大脑的自动调节反应。然而,在临床实践中,屏气并不总是可行或有效的。我们探索了使用kapalabathi的可能性,这是一种古老的瑜伽呼吸技术,作为一种替代的激活操作。我们研究了三种不同姿势下,瑜伽练习者对卡巴拉比蒂的大脑氧合反应。在这三种体位中,Kapalabathi对大脑皮层的氧气供应产生了可测量的影响。在吸烟者和非吸烟者的大脑自我调节反应中观察到显著的差异。
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引用次数: 0
Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease 不同笔迹模式对帕金森病鉴别诊断的贡献
P. Drotár, J. Mekyska, Z. Smékal, I. Rektorová, L. Masarová, M. Faúndez-Zanuy
In this paper, we evaluate the contribution of different handwriting modalities to the diagnosis of Parkinson's disease. We analyse on-surface movement, in-air movement and pressure exerted on the tablet surface. Especially in-air movement and pressure-based features have been rarely taken into account in previous studies. We show that pressure and in-air movement also possess information that is relevant for the diagnosis of Parkinson's Disease (PD) from handwriting. In addition to the conventional kinematic and spatio-temporal features, we present a group of the novel features based on entropy and empirical mode decomposition of the handwriting signal. The presented results indicate that handwriting can be used as biomarker for PD providing classification performance around 89% area under the ROC curve (AUC) for PD classification.
在本文中,我们评估了不同的笔迹模式的贡献帕金森氏病的诊断。我们分析了平板表面的运动、空气中的运动和施加在平板表面的压力。特别是在以往的研究中很少考虑到空气中的运动和基于压力的特征。我们表明,压力和空气中的运动也拥有与帕金森病(PD)的诊断相关的信息。除了传统的运动学和时空特征外,我们还提出了一组基于熵和经验模态分解的手写信号的新特征。结果表明,笔迹可以作为帕金森病的生物标记物,其ROC曲线下面积(AUC)约为89%。
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引用次数: 33
On-site, parallel detection of bio-analytes in water by an integrated capillary flow based opto-microfluidic device 现场,利用集成的毛细管流光学微流控装置平行检测水中生物分析物
Nuno M. M. Pires, T. Dong
An integrated capillary-flow driven opto-microfluidic device for on-site, parallel detection of bio-analytes has been demonstrated in this work. An array of capillary-induced flow microchannels and chambers were arranged on a microfluidic chip made of poly(methyl methacrylate). This poly(methyl methacrylate) chip was further integrated with an array of eight ring-shaped organic photodiodes for measuring chemiluminescence of pathogen immunoassays. Highly sensitive detection of chemiluminescence was ensured by the use of gold nanoparticles, which were attached to the chambers of the microfluidic chip. The developed device demonstrated a detection limit in the range of ~104 cells/mL for bacteria detection in water. Furthermore, the device revealed feasibility to perform parallel detection of two types of bacteria and two types of viruses quantitatively. The presented concept may offer a promising route to realize truly in-the-field devices for medical and/or environmental measurements.
一种集成的毛细管流驱动的光微流控装置,用于现场平行检测生物分析物。在聚甲基丙烯酸甲酯微流控芯片上设置了一系列毛细管诱导流动的微通道和微腔。该聚甲基丙烯酸甲酯芯片进一步集成了8个环形有机光电二极管阵列,用于测量病原体免疫分析的化学发光。利用金纳米颗粒附着在微流控芯片的腔室上,保证了化学发光的高灵敏度检测。该装置对水中细菌的检出限为~104个细胞/mL。此外,该装置还显示了对两种细菌和两种病毒进行定量平行检测的可行性。所提出的概念可能为实现用于医疗和/或环境测量的真正现场设备提供了一条有前途的途径。
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引用次数: 0
A photoacoustics based continuous non-invasive blood glucose monitoring system 一种基于光声的连续无创血糖监测系统
Praful P. Pai, P. K. Sanki, S. Banerjee
The paper examines the use of photoacoustic spectroscopy (PAS) for making continuous non-invasive blood glucose measurements. An apparatus for performing photoacoustic (PA) measurements is constructed and the technique is verified in vitro and in vivo through measurements on glucose solutions and live tissue. The signal amplitude is observed to increase with the glucose concentration in both cases. A linear calibration method is applied on each individual to obtain a glucose concentration value from each PA measurement. The glucose values obtained are compared with reference glucose concentrations measured using a standard glucose meter, giving a mean absolute difference (MAD) of 23.75 mg/dl and a mean absolute relative difference (MARD) of 18.03%. A plot of 196 measurement pairs taken over 30 normal subjects on a Clarke Error Grid gives a point distribution of 67.86%, 31.12%, 0.0%, 1.02% and 0.0% over zones A to E of the grid. This performance is an improvement over those obtained previously using PAS and point to the potential of the technique for non-invasive glucose measurements. An FPGA based reconfigurable embedded architecture is proposed for high speed data acquisition, noise reduction and display of PA measurements. The architecture operates at 274.823 MHz on a Xilinx Virtex-II Pro FPGA providing an SNR improvement of 30 dB and enabling a portable blood glucose monitoring system.
本文探讨了使用光声光谱(PAS)进行连续无创血糖测量。构建了一种光声(PA)测量装置,并通过对葡萄糖溶液和活组织的测量在体外和体内验证了该技术。在这两种情况下,观察到信号振幅随葡萄糖浓度的增加而增加。对每个个体应用线性校准方法,从每个PA测量中获得葡萄糖浓度值。将得到的葡萄糖值与使用标准血糖仪测量的参考葡萄糖浓度进行比较,得出平均绝对差(MAD)为23.75 mg/dl,平均绝对相对差(MARD)为18.03%。在Clarke误差网格上,对30名正常受试者进行196对测量,得出网格A到E区域上的点分布分别为67.86%、31.12%、0.0%、1.02%和0.0%。这一性能比以前使用PAS获得的性能有所改进,并指出了该技术在非侵入性血糖测量方面的潜力。提出了一种基于FPGA的可重构嵌入式结构,用于PA测量的高速数据采集、降噪和显示。该架构在Xilinx Virtex-II Pro FPGA上工作频率为274.823 MHz,信噪比提高30 dB,可实现便携式血糖监测系统。
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引用次数: 20
Uncertainty in cell confluency measurements 细胞合流度测量的不确定度
G. Sassi, S. Pavarelli, C. Divieto, M. Sassi
Pharmaceutical industries have declared their need of metrology in the cellular field, to improve new drugs developing time and costs by high-content screening technologies. Cell viability and proliferation tests largely use confluency of cells on a bi-dimensional (2D) surface as a biological measurand. The confluency is measured from images of 2D surface acquired via microscopy techniques. The plethora of algorithms already in use aims at recognizing objects from images and identifies a threshold to distinguish objects from the background. The reference method is the visual assessment from an operator and any objective uncertainty estimation is not yet available. A method to estimate the image analysis contribution to confluency uncertainty is here proposed. A maximum and a minimum threshold are identified from a visual assessment of the free edge of the cells. An application to a fluorescence microscopy image of 2D of PT-45 cell cultures is reported. Results shows that the method can be a promising solution to associate an uncertainty to cell confluency measurements to enhance reliability and efficiency of high-content screening technologies.
制药行业已经宣布他们需要计量在细胞领域,以提高新药开发时间和成本的高含量筛选技术。细胞活力和增殖测试主要使用细胞在二维(2D)表面上的合流性作为生物学测量。通过显微镜技术获得的二维表面图像来测量合流度。已经使用的大量算法旨在从图像中识别物体,并确定将物体与背景区分开来的阈值。参考方法是操作员的目视评估,目前还没有任何客观的不确定性估计。本文提出了一种估计图像分析对融合不确定度贡献的方法。最大和最小阈值是通过对单元的自由边缘的视觉评估来确定的。本文报道了PT-45细胞培养物二维荧光显微图像的应用。结果表明,该方法可以将不确定度与细胞合流度测量联系起来,以提高高含量筛选技术的可靠性和效率。
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引用次数: 1
Forward autoregressive modeling for stride process analysis in patients with idiopathic Parkinson's disease 特发性帕金森病患者跨步过程分析的正向自回归模型
Yunfeng Wu, Xin Luo, Pinnan Chen, Lifang Liao, Shanshan Yang, R. Rangayyan
In this paper, we derive forward autoregressive models to describe the stochastic process underlying stride interval series related to idiopathic Parkinson's disease. The parameters of the autoregressive model that specify pole locations in the complex z-plane were used as dominant features for the separation of gait series of healthy subjects and patients with Parkinson's disease. Based on the autoregressive parameters, linear discriminant analysis and support vector machines can provide classification accurate rates over 74% and area larger than 0.8 under the receiver operating characteristic curve. The results obtained show that the autoregressive model parameters could be useful for classification of stride series.
在本文中,我们推导了前向自回归模型来描述与特发性帕金森病相关的步幅间隔序列的随机过程。采用复z平面极点位置的自回归模型参数作为主导特征,对健康受试者和帕金森病患者的步态序列进行分离。基于自回归参数,线性判别分析和支持向量机在接收者工作特征曲线下的分类准确率大于74%,面积大于0.8。结果表明,自回归模型参数可用于跨步序列的分类。
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引用次数: 5
Study on the influence of wireless communication technology on sensitive medical equipments 无线通信技术对敏感医疗设备的影响研究
C. Luca, D. Andritoi, C. Corciova, R. Ciorap
In this paper we studied the influence of electromagnetic wireless communications traffic on sensitive medical equipment used in intensive care units. We have identified the main sources of disruptive electromagnetic field existing in a neonatal intensive care unit and studied the influence of wireless communication systems type GSM and DECT 900 on the main operating parameters set to a neonatal mechanical ventilator. After studies we observed that the important parameters used in assisted mechanical ventilation such as expiratory volume, inspiratory pressure, expiratory pressure, mean pressure and tidal volume suffer significant changes when wireless communication disturbing source is at walking distance of sensitive medical equipment.
本文研究了电磁无线通信流量对重症监护病房中使用的敏感医疗设备的影响。我们确定了新生儿重症监护病房中存在的破坏性电磁场的主要来源,并研究了GSM和DECT 900无线通信系统对新生儿机械呼吸机主要操作参数的影响。通过研究我们发现,当无线通信干扰源处于敏感医疗设备的步行距离时,辅助机械通气中使用的呼气量、吸气压力、呼气压力、平均压力、潮气量等重要参数发生显著变化。
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引用次数: 0
期刊
2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings
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