%0 Journal Article
%T P-Wave Detection Combining Entropic Criterion and Wavelet Transform
%A Sawsan Rekik
%A Noureddinne Ellouze
%J Journal of Signal and Information Processing
%P 217-226
%@ 2159-4481
%D 2015
%I Scientific Research Publishing
%R 10.4236/jsip.2015.63020
%X The objective of this paper is to develop
an efficient P wave detection method in electrocardiogram (ECG) using the local
entropy criterion (EC) and wavelet transform (WT) modulus maxima. The detection
of P wave relates to the diagnosis of many heart diseases and it is also a
difficult point during the ECG signal detection. Determining the position of a
P-wave is complicated due to the low amplitude, the ambiguous and changing form
of the complex. In a first step, QRS complexes are detected using the
pan-Tompkins method. Then, we look for the best position of the analysis window
and the value of the most appropriate width to the P wave. Finally, the
determination of P wave peaks, as well as their onsets and offsets. The method
has been validated using ECG-recordings with a wide variety of P-wave
morphologies from MIT-BIH Arrhythmia and QT database. The P-wave method obtains
a sensitivity of 99.87% and a positive predictivity of 98.04% over the MIT-BIH
Arrhythmia, while for the QT, sensitivity and predictivity over 99.8% are
attained.
%K ECG
%K P-Wave
%K Entropy
%K Wavelet Transform
%K Modulus Maxima
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=58144