COMPUTATION OF BPM USING PAN-TOMPKINS ALGORITHM IN ECG SIGNALS
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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 project, we will use this correction in order to use a fixed thresholding in the application of the Pan Tomp...
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 project, we will use this correction in order to use a fixed thresholding in the application of the Pan Tompkins Algorithm. This method reduces the processing time and complexity for the concerned algorithm.
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