用伪微分算子类算子对心电图进行小波变换的各种尺度表示

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY Journal of Advanced Simulation in Science and Engineering Pub Date : 2022-01-01 DOI:10.15748/jasse.9.96
M. Rahman, T. Kagawa, S. Kawasaki, Shunya Nagai, Takayuki Okai, H. Oya, Yumi Yahagi, Minoru W. Yoshida
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引用次数: 1

摘要

. 本文给出了各种实验心电图刻度图,以此提高了区分震荡性和非震荡性心律失常的准确性。为了得到尺度图,对心电信号应用了具有各种伪微分算子的Gabor小波变换。对变换后的信号,利用非线性函数进行若干非线性变换。利用归一化谱指数(NSI)对这些尺度图进行分析,找出统计特征,然后进行定性评价,选择最佳的伪微分算子和非线性函数对。通过选择最佳对,保证了决策算法具有良好的判别性能。直方图在判定阶段用于区分突发性和非突发性心律失常。
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Various scalographic representation of electrocardiograms through wavelet transform with pseudo-differential operator like operators
. This paper presents various experimental scalograms of electrocardiograms (ECG) from which the accuracy of discrimination between shockable and non-shockable arrhythmia is improved. To derive the scalograms, for the ECG signals the Gabor wavelet transform, having the various pseudo-di ff erential operator like operators, is applied. Also, for the transformed signals, several nonlinear transforms by means of nonlinear functions are performed. These scalograms are analyzed by the normalized spectrum index (NSI) to find the statistical characteristics, and then the qualitative evaluation is performed to select the best pair of pseudo-di ff erential operator and nonlinear f unction. Through the best pair selected, a good discrimination performance in the decision algorithm is guaranteed. The histogram is used in the decision stage to distinguish the shockable and non-shockable arrhythmia.
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