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

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.