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Pan-Tompkins-algorithm-python

About

The Pan–Tompkins algorithm is commonly used to detect QRS complexes in electrocardiographic signals (ECG).

ECG QRS

QRS

The Pan–Tompkins algorithm applies a series of filters to highlight the frequency content of this rapid heart depolarization and removes the background noise. The paper suggests following pre-processing steps: steps

Results

Raw ECG plot

first

Algorithm output plot

last

Dependencies

  • numpy
  • Scipy

How to use?

  • Pan_tompkins_algorithm.py is required for using the algorithm. Import it in your working.
  • The class needs ECG data and its sampling rate (Hz) as inputs and it returns a signal which can be extended by finding peaks to get heart rate events.
  • Check the .ipynb notebook in the repo to get started.