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Correction of ECG baseline wander application to the Pan Tompkins QRS detection algorithm

机译:校正Pan&Tompkins QRS检测算法中的ECG基线漂移

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The ECG signal is pseudo-periodic, since the amplitude of every wave varies from a cycle to the other one during the same recording. The variation of the amplitude is related to physiological and pathological conditions of the patient. But when recording, the ECG signal is contaminated by various kinds of noise such as the patient's contraction muscles, respiration, 60 Hz interference, place of recording (ambulatory recording), which can change the positions of electrodes which record the signal. All these factors affect the signal and disrupt it, this gives a signal whose baseline is wandering. In order to obtain the best extraction of the QRS complex of an ECG signal, we will need to correct this baseline and to make it horizontal. In this paper, we will use this correction in order to use a fixed thresholding in the application of the Pan & Tompkins algorithm instead of using an adaptatif thresholding, this method reduces the processing time and complexity for the concerned algorithm.
机译:ECG信号是伪周期的,因为在同一记录期间,每个波的振幅从一个周期到另一个周期都会变化。振幅的变化与患者的生理和病理状况有关。但是,在记录时,ECG信号会受到各种噪声的污染,例如患者的收缩肌肉,呼吸,60 Hz干扰,记录位置(动态记录),这会改变记录该信号的电极的位置。所有这些因素都会影响信号并破坏信号,从而使信号的基线漂移。为了获得对ECG信号QRS复数的最佳提取,我们将需要校正此基线并使之水平。在本文中,我们将使用此校正功能,以便在Pan&Tompkins算法的应用中使用固定阈值,而不是使用自适应阈值,此方法减少了相关算法的处理时间和复杂性。

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