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.
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