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Accurate electrocardiogram (ECG) beat classification is essential for automated detection of arrhythmias. A practical classification algorithm of the ECG beats, combining Mirrored Gauss Model (MGM) and cluster template had been proposed in this paper. High classification accuracy of normal beats and premature ventricular contraction (PVC) beats could be reached using MGM with an expense of huge time...
Accurate electrocardiogram (ECG) beat classification is essential for automated detection of arrhythmias. A novel classification algorithm of the ECG beats, applying mirrored Gauss model (MGM) had been proposed in this paper. The MGM has strong morphological representation ability for QRS complex waves using curve fitting. With the MGM, the width of QRS complex wave could be extracted and applied...
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