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Identification of Premature Ventricular Contraction ECG Signal using Wavelet Detection

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 46 - Number 16
Year of Publication: 2012
I Dewa Gede Hari Wisana
Thomas Sri Widodo
Mochammad Sja'bani
Adhi Susanto

Dewa Gede Hari I Wisana, Thomas Sri Widodo, Mochammad Sjabani and Adhi Susanto. Article: Identification of Premature Ventricular Contraction ECG Signal using Wavelet Detection. International Journal of Computer Applications 46(16):11-15, May 2012. Full text available. BibTeX

	author = {I Dewa Gede Hari Wisana and Thomas Sri Widodo and Mochammad Sjabani and Adhi Susanto},
	title = {Article: Identification of Premature Ventricular Contraction ECG Signal using Wavelet Detection},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {46},
	number = {16},
	pages = {11-15},
	month = {May},
	note = {Full text available}


In this paper, the wavelet method used for detecting an electrocardiogram signal is the detection of a new wavelet. Specific form of the electrocardiogram signal which gives angle, amplitude, phase and certain frequency is used as the basis of new wavelet formation. Algorithm DeGePVC is a new algorithm to detect Premature Ventricular Contraction wave electrocardiogram signal. The advantage of using this algorithm DeGePVC is reducing the sensitivity to noise compared to other techniques, with the determination of each component of P, Q, R, S, T wave of the electrocardiogram accurately and quickly. The originality of this study was applied to Premature Ventricular Contraction electrocardiogram wave, with varying leads and it is analyzed for each component of its electrocardiogram signal. The results show the effectiveness of DeGePVC wavelet algorithm utility to detect Premature Ventricular Contraction electrocardiogram wave for 6 lead electrocardiogram. With the value of auc=0. 988 by using Receiver Operating Charactheristic (ROC) curve.


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