Electrocardiogram morphological arrhythmia classification using fuzzy entropy-based feature selection and optimal classifier
Krishnakant Chaubey,
Seemanti Saha
Abstract:Electrocardiogram (ECG) signal analysis has become significant in recent years as cardiac arrhythmia shares a major portion of all mortality world-wide. To detect these arrhythmias, computer-assisted algorithms play a pivotal role as beat-by-beat monitoring of holter ECG signals is required. In this paper, a morphological arrhythmia classification algorithm has been proposed to classify seven different ECG beats, namely Normal Beat (N), Left Bundle Branch Block Beat (L), Right Bundle Branch Block Beat (R), Atr… Show more
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