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A time and frequency domain analysis of atrial late potentials for paroxysmal atrial fibrillation risk assessment 心房晚电位的时频域分析用于阵发性心房颤动风险评估
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378508
Z. Czyz̊, T. Petelenz, Z. Flak, M. Sosnowski, J. Leski
Presents a new procedure of P-waved triggered signal averaging ECG and its utility for paroxysmal atrial fibrillation (PAI) risk assessment in patients (pts) suffering from mitral valve disease (MVD). A study was performed in 20 MVD-pts with PAF, in 10 MVD-pts without PAF and in 10 healthy subjects. Time-domain analysis after filtration 25-250 Hz and 40-250 Hz provided the following parameters: P complex duration (PD), RMS of total P complex (RMSP) and of its terminal 10, 20 and 30 ms. FFT frequency-domain analysis, performed on the 120 ms segment, provided for each X, Y or Z lead the percentage ratio of spectral areas at bands: 20-50/0-20 Hz (AR1) and 60-120/0-120 (AR2). At 40-120 Hz filtration all time-domain variables significantly differed for MVD-PAF(+)-pts from PAF(-) subjects. Frequency analysis showed that ARI was significantly higher in PAF(+) than in the remaining examined subjects without PAF.<>
介绍了一种新的心电图p波触发信号平均方法及其在二尖瓣疾病(MVD)患者阵发性心房颤动(PAI)风险评估中的应用。这项研究在20名患有PAF的mvd患者、10名没有PAF的mvd患者和10名健康受试者中进行。25-250 Hz和40-250 Hz滤波后的时域分析得到以下参数:P复合物持续时间(PD),总P复合物(RMSP)及其末端的RMS 10,20和30ms。对120 ms段进行FFT频域分析,为每个X, Y或Z提供了20-50/0-20 Hz (AR1)和60-120/0-120 (AR2)波段的频谱区域百分比比率。在40-120 Hz滤过时,MVD-PAF(+)-pts与PAF(-)受试者的所有时域变量均显著不同。频率分析显示,PAF(+)组的ARI发生率明显高于其余无PAF组。
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引用次数: 2
Physical models for measurement of blood velocity and flow from diagnostic images 从诊断图像测量血液流速和流量的物理模型
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378368
A. Amini, T. Egglin, J. Pollak
The authors present preliminary results and new technical developments in measurement of cross-sectional blood velocities and flow from a time-sequence of arteriograms. They apply the conservation of mass principle to flowing blood and the injected contrast medium in a vessel in order to obtain mathematical constraints on cross sectional velocities from a sequence of contrast-injected images. The previously employed optical flow constraint discussed by Mongrain et al. (Computers in Cardiology, 1991) and other authors is found to be a special case of this constraint. The proposed framework is also particularly efficient. The numerical methods compute a stream function (a single image) from a window of images in a time-sequence, and in a post-processing step, the cross-sectional velocity field is determined simply by application, of a gradient operator to the stream function.<>
作者介绍了从动脉造影时间序列测量横断面血流速度和流量的初步结果和新技术进展。他们将质量守恒原理应用于血管中流动的血液和注入的造影剂,以便从一系列注入造影剂的图像中获得横截面速度的数学约束。Mongrain et al. (Computers in Cardiology, 1991)和其他作者讨论的先前使用的光流约束是这种约束的一个特例。拟议的框架也特别有效。数值方法从时间序列的图像窗口中计算流函数(单个图像),在后处理步骤中,截面速度场仅通过对流函数应用梯度算子来确定。
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引用次数: 6
Ventricular arrhythmia localisation by computer processing of fragmented cardiac myopotentials 用计算机处理破碎心肌电位定位室性心律失常
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378484
B. Sharif, D. Thomson, E. G. Chester, R. Campbell, S. Furniss
Accurate localisation of arrhythmogenic origin is necessary for successful surgery on patients with ventricular arrhythmias, and fragmentation mapping is one of the principal techniques used intraoperatively for this purpose. Fragmentation mapping is normally based on subjective characterisation of fragmented cardiac myopotentials. These fragmented electrograms are an important feature of arrhythmogenic scar and have been used with moderate success to direct surgery. However, very little is known or understood about fragmented electrograms. The aim of the authors' study is to produce a fragmentation mapping system based on the automated classification of electrograms. Therefore, the two main issues that are addressed are the extraction of electrograms from recorded and occasionally noisy signals and evaluating the characteristics applicable to discriminating between normal and abnormal electrograms. The output of the fragmentation mapping system is in the form of a graphical map representing 53 grid positions on the left ventricular epicardium. This will provide a useful tool that will potentially localise the arrhythmogenic origin more rapidly than manual schemes, thus allowing a more effective treatment of arrhythmias.<>
准确定位致心律失常的起源对于室性心律失常患者的手术成功是必要的,碎片定位是术中用于此目的的主要技术之一。碎片映射通常是基于主观特征的碎片化心肌电位。这些碎片化的电图是心律失常性瘢痕的重要特征,并已成功地用于指导手术。然而,我们对碎片电图知之甚少。作者的研究目的是建立一个基于电图自动分类的碎片映射系统。因此,要解决的两个主要问题是从记录的和偶尔有噪声的信号中提取心电图,以及评估适用于区分正常和异常心电图的特征。碎片映射系统的输出以图形地图的形式表示左室心外膜上的53个网格位置。这将提供一种有用的工具,可以比手动方案更快地定位心律失常的起源,从而允许更有效地治疗心律失常
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引用次数: 1
Analysis of digital filtering in high-resolution electrocardiography: new method of SAECG analysis for patients identification with bundle branch block and sustained ventricular tachycardia after myocardial infarction 高分辨率心电图数字滤波分析:心梗后束支传导阻滞和持续性室性心动过速的SAECG分析新方法
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378503
Andrzej Piatkowski, E. Piątkowska-Janko, G. Opolski
The aim of the authors' study was to assess the optimal filter for late potentials (LP) determination. They present their study of time-domain signal-averaged electrocardiogram (SAECG) in patients with bundle branch block.<>
作者的研究目的是评估最优的过滤器,以确定晚电位(LP)。他们介绍了束支传导阻滞患者的时域信号平均心电图(SAECG)的研究。
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引用次数: 1
Time varying elastance and cardiac muscle energetics based on calcium kinetics and crossbridges cycling 时变弹性和心肌能量学基于钙动力学和交叉桥循环
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378426
A. Landesberg, R. Beyar, S. Sideman
The study relates to the control of the mechanical activity of the cardiac muscle by coupling calcium kinetics with crossbridge cycling. Two main feedback mechanisms affect the performance of the contractile filaments: 1) cooperativity, in which the affinity of troponin for calcium is a function of the number of cycling crossbridges, and 2) mechanical feedback where the velocity of filament sliding affects crossbridge turnover rate from the strong to the weak conformation. This intracellular control mechanism describes the performances of the skinned and intact cardiac muscle at various loading conditions, i.e. the force-length and the force-velocity relationships and the control of relaxation. The model can also describe the effect of various loading conditions on the work and ATP consumption. Using this approach, a mechanism for the time varying elastance of the left ventricle is proposed.<>
本研究涉及通过钙动力学与过桥循环耦合来控制心肌的机械活动。两种主要的反馈机制影响着收缩纤维的性能:1)协同性,其中肌钙蛋白对钙的亲和力是循环交叉桥数量的函数;2)机械反馈,其中纤维滑动的速度影响交叉桥从强构象到弱构象的周转率。这种细胞内控制机制描述了剥皮心肌和完整心肌在不同负载条件下的性能,即力-长度和力-速度关系以及松弛控制。该模型还可以描述不同载荷条件对功和ATP消耗的影响。利用这种方法,提出了一种左心室时变弹性的机制。
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引用次数: 2
MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm MULTIWAVE:一种基于多分辨率小波的心电数据压缩算法
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378421
N. Thakor, Y. Sun, Hervé Rix, P. Caminal
MULTIWAVE is a multiresolution wavelet-based algorithm for data compression of ECG signals. ECG signals are decomposed into coarse and fine components. Decomposition is carried out by a pyramidal algorithm that analyzes the signal at successive scales by convolution with an orthonormal set of filters, followed by decimation (discarding the alternate samples). Data compression rates of 2:1, 4:1, 8:1, and so on are obtained at each successive scale. Four records each of normal sinus rhythm (NSR), supraventricular tachycardia (SVT), and ventricular tachycardia (VT) are analyzed. The performance of the MULTIWAVE algorithm is found to be superior to that of the TURNING POINT algorithm at all compression rates for all ECG records.<>
MULTIWAVE是一种基于多分辨率小波的心电信号数据压缩算法。将心电信号分解为粗分量和细分量。分解由金字塔算法进行,该算法通过与一组标准正交滤波器的卷积来分析连续尺度上的信号,然后进行抽取(丢弃替代样本)。在每个连续的尺度上,数据压缩率分别为2:1、4:1、8:1等。分析正常窦性心律(NSR)、室上性心动过速(SVT)和室性心动过速(VT)各4例。在所有心电记录的所有压缩率下,MULTIWAVE算法的性能都优于TURNING POINT算法。
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引用次数: 7
Accuracy of automatic QT measurement techniques QT自动测量技术的准确性
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378348
N. McLaughlin, R. Campbell, A. Murray
The aim of this study was to compare, against manual measurement, 3 algorithms for automatic QT interval measurement using eight 4 lead ECGs recorded from normal subjects. The algorithms investigated determined T wave end from (a) the intercept of the isoelectric line and maximum T wave slope, thresholds applied to (b) the T wave and (c) the differential of the T wave. Mean manual-automatic QT measurement differences of 27 to 29 ms for algorithm a, -2 to 20 ms for b and -5 to 4 ms for c were found. The standard deviations (SD) of the manual-automatic differences varied from 9 to 30 ms. Failure to measure the QT interval (1 to 12 cases) occurred with only algorithm b. Each algorithm performed differently with the mean and SD of the differences, and failure rate for b, dependent on threshold and isoelectric levels used.<>
本研究的目的是比较使用正常受试者8张4导联心电图自动测量QT间期的3种算法与人工测量方法的比较。所研究的算法从(a)等电线的截距和最大T波斜率,(b) T波的阈值和(c) T波的微分来确定T波结束。发现算法a的平均手动-自动QT测量差异为27 ~ 29 ms,算法b为-2 ~ 20 ms,算法c为-5 ~ 4 ms。手动-自动差异的标准偏差(SD)为9 ~ 30 ms。只有算法b无法测量QT间期(1至12例)。每种算法的表现不同,差异的平均值和SD,以及b的失败率,取决于所使用的阈值和等电水平。
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引用次数: 27
A new approach to ECG tracing storage allowing full integration with clinical database 一种新的心电跟踪存储方法,允许与临床数据库完全集成
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378341
E. Cervesato, G. Nicolosi, G. Rellini, D. Zanuttini
To allow a full and easy integration between digital ECG storage and clinical database, routine ECGs are transferred to a local area network using a RS232 communication line. Sample data are available on the 8 independent leads in decompressed format. The ECGs are linked with the clinical database so that they can be easily reviewed during routine operations. When recalled by the operator, the ECG is displayed on a full screen in its original format together with the interpretation. A grey to scale algorithm improves the graphic resolution even using conventional VGA display cards. Double size zoom and high quality reprint are also available. A seven month pilot clinical test was performed with excellent results.<>
为了实现数字化心电存储和临床数据库之间的全面便捷集成,常规心电图通过RS232通信线路传输到局域网。8个独立引线上的样本数据以解压格式提供。心电图与临床数据库相连接,以便在常规手术中方便查阅。当操作员召回时,心电图将以原始格式显示在全屏上,并附有解释。灰度缩放算法提高了图形分辨率,即使使用传统的VGA显卡。两倍大小的缩放和高质量的转载也可用。进行了为期7个月的初步临床试验,取得了良好的结果。
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引用次数: 4
Quantitative angiography: densitometry guided edge detection using mean field annealing 定量血管造影:密度测量引导边缘检测使用平均场退火
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378493
Youn-Sik Han, W. Snyder, D. Herrington
Coronary angiograms are degraded by blur and noise from the imaging system. Previously the authors proposed a method of deblurring and edge-preserving smoothing using Mean Field Annealing. Here, they show the results of the application of DMFA technique on clinical cineangiography. Also, they propose a new edge detection method which uses densitometric information as well as gradient information in the estimation of the edges. These techniques are applied to 13 synthetic vessel images and several clinical angiograms and the results are compared to those of the conventional gradient-based techniques. These methods may improve QCA measures of vessel diameters.<>
冠状动脉造影图像受到成像系统的模糊和噪声的影响。在此之前,作者提出了一种基于平均场退火的去模糊和边缘保持平滑的方法。在这里,他们展示了DMFA技术在临床电影血管造影中的应用结果。此外,他们还提出了一种新的边缘检测方法,该方法利用密度信息和梯度信息对边缘进行估计。将这些技术应用于13张合成血管图像和几张临床血管图像,并将结果与传统的基于梯度的技术进行了比较。这些方法可以改进血管直径的QCA测量。
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引用次数: 2
A neural network approach to the detection of coronary artery disease 冠状动脉疾病的神经网络检测方法
Pub Date : 1993-09-05 DOI: 10.1109/CIC.1993.378464
Zuo-Jun Max Shen, Malcolm Clarke, Ronald W. Jones, T. Alberti
The authors used a neural network (NN) on data from a self-applied questionnaire to implement a decision system designed to seek out high risk individuals in a large population. A multilayered perceptron was trained with various risk factors to distinguish coronary heart disease. The performance of the NN was evaluated by receiver operating characteristic (ROC) analysis. A maximum ROC area of 98% was obtained. The authors also describe a modification to the architecture of the neural network in which an extra layer of neurons is added at the input. They present possible interpretations of the weights of these neurons and show how they can be used as a selection criteria for which questions to use as inputs. The technique is compared against other statistical methods. The authors go on to demonstrate the system's capability for detecting both the symptomatic and asymptomatic patient.<>
作者使用神经网络(NN)对自应用问卷的数据进行处理,实现了一个旨在从大量人群中寻找高风险个体的决策系统。利用不同的危险因素训练多层感知器来识别冠心病。通过受试者工作特征(ROC)分析对神经网络的性能进行评价。最大ROC面积为98%。作者还描述了对神经网络结构的修改,其中在输入处添加了额外的神经元层。他们提出了对这些神经元权重的可能解释,并展示了如何将它们用作选择标准,以将哪些问题用作输入。该技术与其他统计方法进行了比较。作者继续展示了该系统检测有症状和无症状患者的能力。
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引用次数: 8
期刊
Proceedings of Computers in Cardiology Conference
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