Removal of baseline wander from ECG signal based on a statistical weighted moving average filter

2011 ◽  
Vol 12 (5) ◽  
pp. 397-403 ◽  
Author(s):  
Xiao Hu ◽  
Zhong Xiao ◽  
Ni Zhang
2017 ◽  
Vol 8 (1) ◽  
pp. 32-45 ◽  
Author(s):  
KM Talha Nahiyan ◽  
Abdullah Al Amin

ECG (Electrocardiogram) is a measure of heart’s electrical activity. As the body is a volume conductor, ECG signal can be recorded from the body surface. The signal while being recorded from the body surface gets corrupted by various types of noise or artifact. Among these, baseline wander is a type of noise that severely hampers the ECG signal. Baseline wander is particularly of very low frequency; it causes the ECG signal to deviate from its isoelectric line and causes the signal to ride on the lower frequency artifact. The proposed method is based on Savitzky-Golay filter, which is a moving average filter that takes into consideration the polynomial order along with moving averaging when approximating the signal. It enables to approximate the baseline wander quite efficiently. Though in some cases it distorts the ECG signal to some extent, when compared with usual polynomial fitting method, it demonstrates superiority in terms of accuracy, simplicity and generalization.Bangladesh Journal of Medical Physics Vol.8 No.1 2015 32-45


Author(s):  
V. A. Simon

The features of heart x-ray diagnostics in newborns are considered. The necessity of synchronization of x-ray apparatus with electrocardiogram (ECG) is substantiated. Prospective and retrospective methods of ECG synchronization are described, the limits of their applicability are determined. The block diagram of the device for ECG registration in one lead is given, the functional purpose of each block of the scheme is considered. An example of an ECG recorded using the developed device is shown. Based on the recorded ECG, a method for recognizing the diastolic phase is shown. The original ECG signal is processed by the moving average filter, then its first derivative is calculated. The resulting signal also passes through the «moving average» filter, and then differentiates, becoming the second derivative of the original ECG signal. For the first and second derivatives are set thresholds, within which the first and second derivatives must be located to enable the x-ray apparatus. Averaging the diastolic phase of 20–30 cardiocycles allows you to calculate the time window in which the x-ray machine is switched on. The application of the developed method can significantly improve the quality of x-ray images by improving the accuracy of control of the x-ray apparatus by synchronizing its operation with the diastolic phase of the ECG.


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