title: Wolff-Parkinson-White (WPW) syndrome: the detection of delta wave in an electrocardiogram (ECG).
abstract: The delta wave remains an important indicator to diagnose the WPW syndrome. In this paper, a new method of detection of delta wave in an ECG signal is proposed. Firstly, using the continuous wavelet transform, the P wave, the QRS complex and the T wave are detected, then their durations are computed after determination of the boundary location (onsets and offsets of the P, QRS and T waves). Secondly, the PR duration, the QRS duration and the upstroke of the QRS complex are used to determine the presence or absence of the delta wave. This algorithm has been tested on the Physionel database (ptbdb) in order to evaluate its robustness. It has been applied to clinical signals from patients affected by WPW syndrome. This method can provide assistance to practitioners in order to detect the WPW syndrome.
authors.forename: Hassan Adam
authors.initials: HA
authors.lastname: Mahamat
authors.forename: Sabir
authors.initials: S
authors.lastname: Jacquir
authors.forename: Cliff
authors.initials: C
authors.lastname: Khalil
authors.forename: Gabriel
authors.initials: G
authors.lastname: Laurent
authors.forename: Stephane
authors.initials: S
authors.lastname: Binczak
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis; D014927:Wolff-Parkinson-White Syndrome / Q000175:diagnosis / Q000503:physiopathology*