title: Form analysis using digital signal processing reliably discriminates far-field R waves from P waves.
abstract: The correct detection of atrial arrhythmias by pacemakers is often limited by the presence of far-field R waves (FFRWs) in the atrial electrogram. Digital signal processing (DSP) of intracardiac signals is assumed to provide improved discrimination between P waves and FFRWs when compared to current methods. For this purpose, 100 bipolar and unipolar intracardiac atrial recordings from 31 patients were collected during pacemaker replacement and used for the off-line application of a novel DSP algorithm. Digital processing of the atrial intracardiac electrogram (IEGM) signals (8 bit, 800 samples/s) included filtering and calculation of the maximum amplitude and slope of the detected events. The form parameter was calculated, being the sum of the most negative value of the amplitude and that of the slope of the detected event. The algorithm collects form parameter data of P waves and FFRWs and composes histograms of these data. A sufficiently large gap between the FFRW and P wave histograms allows discrimination of these two signals based on form parameters. Three independent observers reviewed the reliability of classification with this algorithm. Sensitivity and specificity of FFRW detection were 99.63% and 100%, respectively, and no P waves were falsely classified. It can be concluded that this novel DSP algorithm shows excellent discrimination of FFRWs under off-line conditions and justify the implementation of this algorithm in future pacemakers for real-time discrimination between P waves and FFRWs. This method prevents false mode switching and allows correct and immediate intervention pacing for atrial tachyarrhythmias.
authors.affiliation: Heart Lung Center Utrecht, Department of Cardiology, St. Antonius Hospital, Nieuwegein, the Netherlands. n.m.vanhemel@hetnet.nl
authors.forename: Norbert M
authors.initials: NM
authors.lastname: Van Hemel
authors.forename: Peter
authors.initials: P
authors.lastname: Wohlgemuth
authors.forename: Jos G
authors.initials: JG
authors.lastname: Engbers
authors.forename: Thomas
authors.initials: T
authors.lastname: Lawo
authors.forename: Jan
authors.initials: J
authors.lastname: Nebaznivy
authors.forename: Milos
authors.initials: M
authors.lastname: Taborsky
authors.forename: Joachim
authors.initials: J
authors.lastname: Witte
authors.forename: Wim
authors.initials: W
authors.lastname: Boute
authors.forename: Dave
authors.initials: D
authors.lastname: Munneke
authors.forename: Chris
authors.initials: C
authors.lastname: Van Groeningen
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001281:Atrial Fibrillation / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology; D001282:Atrial Flutter / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology; D004562:Electrocardiography; D006325:Heart Atria / Q000503:physiopathology*; D006352:Heart Ventricles / Q000503:physiopathology; D006801:Humans; D010138:Pacemaker, Artificial / Q000145:classification; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted