Random Forest Classifier Based ECG Arrhythmia Classification

Materials

ECG data for the analysis and classification were obtained from the MIT-BIH arrhythmia database and signals from ML-II leads are used. This digital data has been sampled at a frequency of 360Hz and preprocessed to remove noise due to power-line interference, muscle tremors, spikes etc. The work presented in this paper focuses on several important arrhythmia types such as Paced beat (P), Atrial premature beat (A), Right bundle branch block beat (R), Left bundle branch block beat (L), Ventricular escape beat (E), Ventricular flutter wave (!), premature ventricular contraction (V), Fusion of ventricular and normal beat (F), Fusion of paced (f), Blocked Atrial Premature Beat (x) and the Normal beat segment (Normal). One minute segments of each beat type are extracted from these records for analysis. The number of segments of each type extracted from the database records is given in Table 1.