Characteristic wave detection in ECG signal using morphological transform

BMC Cardiovascular Disorders. 2005;5(1):28 DOI 10.1186/1471-2261-5-28

 

Journal Homepage

Journal Title: BMC Cardiovascular Disorders

ISSN: 1471-2261 (Online)

Publisher: BMC

LCC Subject Category: Medicine: Internal medicine: Specialties of internal medicine: Diseases of the circulatory (Cardiovascular) system

Country of publisher: United Kingdom

Language of fulltext: English

Full-text formats available: PDF, HTML

 

AUTHORS

Chan Kap
Sun Yan
Krishnan Shankar

EDITORIAL INFORMATION

Open peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 19 weeks

 

Abstract | Full Text

<p>Abstract</p> <p>Background</p> <p>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).</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>The developed MMD method exhibits good potentials for automated ECG signal analysis and cardiovascular arrhythmia recognition.</p>