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Ventricular late potentials characterization in time-frequency domain by means of a wavelet transform

机译:小波变换在时频域中表征心室晚期电位

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摘要

The main transforms of Cohen's class allow signal representation simultaneously in time and frequency domains. Wavelet transforms make it possible to link the temporal window width to the analyzing frequency and leads to a "modified wavelet transform" which improves resolution both in time and frequency. A simulation study illustrates the artifacts of every time-frequency representation on pure sinusoids and gives performance evaluation of the different methods when searching a sinusoid embedded in a QRS complex. Analyses of real signals from healthy and pathological subjects confirm the simulation results and complete the characterization of ventricular late potentials yet detected by signal averaging.
机译:科恩类的主要变换允许在时域和频域中同时进行信号表示。小波变换可以将时间窗口宽度与分析频率相关联,并导致“修改后的小波变换”,从而提高了时间和频率分辨率。仿真研究说明了纯正弦波上每个时频表示的伪影,并在搜索嵌入QRS复杂系统中的正弦波时给出了不同方法的性能评估。对来自健康和病理学受试者的真实信号的分析证实了模拟结果,并完成了尚未通过信号平均检测到的心室晚期电位的表征。

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