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Frequency‐ and Time‐Domain Analysis of P Wave in Patients with Paroxysmal Atrial Fibrillation
Author(s) -
HIRAKI TATSURO,
IKEDA HISAO,
OHGA MASANOBU,
KUBARA TAKASHI HAMADA ICHIRO,
YOSHIDA TERUHISA,
AJISAKA HIDEHIKO,
TANABE AKIHIRO,
KANAHARA MASAAKI,
IMAIZUMI TSUTOMU
Publication year - 1998
Publication title -
pacing and clinical electrophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.686
H-Index - 101
eISSN - 1540-8159
pISSN - 0147-8389
DOI - 10.1111/j.1540-8159.1998.tb01061.x
Subject(s) - medicine , signal averaged electrocardiogram , cardiology , atrial fibrillation , paroxysmal atrial fibrillation , time domain , frequency domain , electrocardiography , computer science , computer vision , mathematical analysis , mathematics
We investigated the usefulness of the time‐ and frequency‐domain analysis of the P wave triggered signal‐averaged ECG (P‐SAECG) for detecting patients with paroxysmal atrial fibrillation (Paf). In previous studies, the usefulness of the time domain of the P‐SAECG to detect patients with Paf was described but that of the frequency domain is unknown. We analyzed the P‐SAECG in the time and frequency domain in 23 patients with Paf and 19 controls. The 32‐unipolar chest lead ECGs and the standard bipolar limb lead ECGs were obtained. The time‐domain analysis showed that the filtered P duration (fPd) was significantly longer (P < 0.01) in patients with Paf than controls: the predictive accuracy of Paf with fPd > 120 ms was 69%. The frequency domain analysis showed that the area ratio of power spectrum area of 0–20 Hz to 20–100 Hz (AR20) was significantly higher (P < 0.01) and the magnitude ratio at 30 Hz (%Mag.30) calculated by dividing the magnitude at 30 Hz by the maximal magnitude was significantly (P < 0.01) lower in patients with Paf than controls in the left lateral chest leads. The predictive accuracy of Paf with AR20 ≥ 1.5 and that with %Mag.30 < 40% was 83% and 73%, respectively. Our results indicate that the frequency‐domain analysis of P waves in lateral leads is useful as is the time‐domain analysis to detect patients with Paf. The AR20 ≥ 1.5 and %Mag.30 < 40% provides accurate predictability of Paf.