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Identification of PVCs based on Peak Detection with Teager Energy Operator
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 103 - Number 16 |
| Year of Publication: 2014 |
| Authors: V. Sharmila, K.ashoka Reddy |
10.5120/18162-9387
|
V. Sharmila, K.ashoka Reddy . Identification of PVCs based on Peak Detection with Teager Energy Operator. International Journal of Computer Applications. 103, 16 ( October 2014), 38-43. DOI=10.5120/18162-9387
Abstract
Teager Energy Operator (TEO) is a nonlinear energy operator that can be used to analyze the biomedical signals like ECG from energy point of view. Presence of Premature Ventricular Contraction (PVC) beats in an ECG record can be easily identified from normal beats using the proposed TEO model. TEO tracks the instantaneous envelope of R peak, which clearly illustrates whether the trigger pulse for depolarization has originated from the SA node (for normal beat) or from the ventricles (for PVC beat). Based on the above analysis if the tracked envelope corresponds to an impulsive spike, it can be identified as the R peak of a normal beat and if it is distorted it can be identified as the one corresponding to the R peak of PVC beat. Reliability of the proposed method is high compared to other PVC identification methods based on peak detection. The algorithm applied to a set of PVC data taken from MIT-BIH database had resulted in measures of, greater than 99% of sensitivity, positive predictivity of 100% and detection error rate less than . 03%.
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