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The objective of this paper is to developan efficient P wave detection method in electrocardiogram ECG using the localentropy criterion EC and wavelet transform WT modulus maxima. The detectionof P wave relates to the diagnosis of many heart diseases and it is also adifficult point during the ECG signal detection. Determining the position of aP-wave is complicated due to the low amplitude, the ambiguous and changing formof the complex. In a first step, QRS complexes are detected using thepan-Tompkins method. Then, we look for the best position of the analysis windowand the value of the most appropriate width to the P wave. Finally, thedetermination of P wave peaks, as well as their onsets and offsets. The methodhas been validated using ECG-recordings with a wide variety of P-wavemorphologies from MIT-BIH Arrhythmia and QT database. The P-wave method obtainsa sensitivity of 99.87% and a positive predictivity of 98.04% over the MIT-BIHArrhythmia, while for the QT, sensitivity and predictivity over 99.8% areattained.

KEYWORDS

ECG, P-Wave, Entropy, Wavelet Transform, Modulus Maxima

Cite this paper

Rekik, S. and Ellouze, N. 2015 P-Wave Detection Combining Entropic Criterion and Wavelet Transform. Journal of Signal and Information Processing, 6, 217-226. doi: 10.4236-jsip.2015.63020.





Author: Sawsan Rekik, Noureddinne Ellouze

Source: http://www.scirp.org/



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