nikhilkr29 / pan-tomkins-method-for-qrs-detection

Implementing the Pan–Tompkins method for QRS detection using a simple threshold-based method to detect QRS complexes and then finding out the QRS Width and Heart Rate for the given data.

Pan-Tomkins-Method-for-QRS-Detection ✅

What is QRS:

The QRS complex is the combination of three of the graphical deflections seen on a typical electrocardiogram (ECG). It is usually the central and most visually obvious part of the tracing; in other words, it's the main spike seen on an ECG line. It corresponds to the depolarization of the right and left ventricles of the human heart and contraction of the large ventricular muscles

How Pan Tomkins Algorithm Works:

The Pan–Tompkins algorithm applies a series of filters to highlight the frequency content of this rapid heart depolarization and removes the background noise. Then, it squares the signal to amplify the QRS contribute. Finally, it applies adaptive thresholds to detect the peaks of the filtered signal.

What is Heart Rate:

Heart rate :It is computed as a function of the distance in seconds between two consecutive QRS complexes

What is QRS Width:

QRS Width :It is computed as a function of the distance in seconds of a QRS complexes

Plot of First ECG Signal QRS Complex: 💚 💚

Results Obtained 🤞

Plot of First ECG

QRS Width of 1st Dataset = 0.163seconds
QRS Width of 2nd Dataset = 0.126 seconds
QRS Width of 3rd Dataset = 0.090 seconds
QRS Width of 4th Dataset = 0.119 seconds
Result (Avg. QRS Width): 0.124 seconds

Heart Rate of 1st Dataset = 75
Heart Rate of 2nd Dataset = 96
Heart Rate of 3rd Dataset = 78
Heart Rate of 4th Dataset = 99
Result (Avg. Heart Rate): 87

Source of Dataset:

http://people.ucalgary.ca/~ranga/enel563/SIGNAL_DATA_FILES/