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METHOD FOR EXTRACTING QUASI-PERIODIC SIGNALS FROM NOISE

机译:从噪声中提取准周期信号的方法

摘要

The invention relates to a method for extraction of quasi-periodic signals from noise, intended to be used in processing biomedical signals, such as electrocardiographic signal (ECG), magnetocardiographic signal (MCG) or other quasi-periodic signals of reduced level, recorded in the presence of high-level noise. According to the invention, the method consists in that the waveform of a quasi-periodic signal of very low amplitude recorded in the presence of noise of high amplitude is obtained based on the prior determination (2.2) of duration of all sequences of the quasi-periodic signal, which allows the selection (2.3) of some groups of sequences randomly located in the record, but with the approximately the same value of durations, where, for each so-formed group, a replica of the signal of interest is obtained (2.4) which, together with a replica of the signal for the entire record, obtained by the signal sampling (2.5) and processing (2.6) corresponding to the duration of each sequence, are compared and analyzed (2.7) to permit identification and characterization of specific waves or of changes or evolutions of the signal of interest, even in the conditions in which the records exhibit a very low signal-to-noise ratio.
机译:本发明涉及一种用于从噪声中提取准周期信号的方法,该方法旨在用于处理生物医学信号,例如记录在其中的心电图信号(ECG),磁心电图信号(MCG)或其他水平降低的准周期信号。高电平噪声的存在。根据本发明,该方法包括:基于对准噪声的所有序列的持续时间的先验确定(2.2),获得在存在高幅度的噪声的情况下记录的,非常低幅度的准周期信号的波形。周期性信号,它允许选择(2.3)随机位于记录中的某些序列组,但是具有近似相同的持续时间值,其中对于每个如此形成的组,获得感兴趣信号的副本( 2.4)将其与整个记录的信号副本一起通过信号采样(2.5)和对应于每个序列持续时间的处理(2.6)获得的信号进行比较和分析(2.7),以识别和表征特定波或感兴趣信号的变化或演变,即使在记录表现出非常低的信噪比的条件下也是如此。

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