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Computer-based analysis of cardiac sounds based on multiscale techniques

机译:基于多尺度技术的基于计算机的心音分析

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In this paper special attention is given to domain selection and local and global signal examination which is important for signal processing, especially in cardiosignals where physiological information is a priority. In the case of phonocardiographic signals, spectral components are analyzed using joint time-frequency and multifractal representation, as well as directly in time domain using second generation wavelets and normalized averaged Shannon energy. This paper describes novel techniques for computer-based analysis of heart sounds without reference electrocardiograms. Experimental performance results of multiscale based model show excellent results in fundamental heart sound detection and abnormality indication via singularity reoccurrence detection with preserving relevant singularities.
机译:在本文中,将特别注意域选择以及局部和全局信号检查,这对于信号处理非常重要,尤其是在以生理信息为优先的心脏信号中。对于心电图信号,将使用联合时频和多重分形表示来分析频谱分量,以及使用第二代小波和归一化的平均Shannon能量直接在时域中进行分析。本文介绍了无需参考心电图就可以进行基于计算机的心音分析的新技术。基于多尺度模型的实验性能结果显示,在通过保留奇异点进行奇异点再次发生检测的基础心音检测和异常指示方面,均获得了出色的结果。

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