Characteristic wave detection in ECG signal using morphological transform.
BACKGROUND
Detection of characteristic waves, such as QRS complex, P wave and T wave, is one of the essential tasks in the cardiovascular arrhythmia recognition from Electrocardiogram (ECG).


METHODS
A multiscale morphological derivative (MMD) transform-based singularity detector, is developed for the detection of fiducial points in ECG signal, where these points are related to the characteristic waves such as the QRS complex, P wave and T wave. The MMD detector is constructed by substituting the conventional derivative with a multiscale morphological derivative.


RESULTS
We demonstrated through experiments that the Q wave, R peak, S wave, the onsets and offsets of the P wave and T wave could be reliably detected in the multiscale space by the MMD detector. Compared with the results obtained via with wavelet transform-based and adaptive thresholding-based techniques, an overall better performance by the MMD method was observed.


CONCLUSIONS
The developed MMD method exhibits good potentials for automated ECG signal analysis and cardiovascular arrhythmia recognition.
Sun
Yan
Y
Bioinformatics Institute, 138671, Singapore. sunyan@bii.a-star.edu.sg
Chan
Kap Luk
KL
Krishnan
Shankar Muthu
SM
D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted