ECG Classification Based on Time and Frequency Domain Features Using Random Forrests

Abstract

We present a combined method of classical signal analysis and machine learning algorithms for the automated classification of 1-lead ECG recordings, which was developed in the course of the Computing in Cardiology Challenge 2017.