Automatic Arrhythmia Detection Based on Machine Learning

This project consists of three parts: preprocessing ( denoising ), feature extraction , classification.

In preproccesing wavelet & median filter has used. Then for feature extraction morphological features extracted & for the last session I’m using SVM and KNN.