We investigated the usefulness of the time- and frequency-domain analy
sis of the P wave triggered signal-averaged ECG (P-SAECG) for detectin
g patients with paroxysmal atrial fibrillation (Paf). In previous stud
ies, the usefulness of the time domain of the P-SAECG to detect patien
ts 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 patien
ts with Paf and 19 controls. The 32-unipolar chest lead ECGs and the s
tandard 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 o
f 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 (AR
20) 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 maxi
mal 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 greater than or equal to 1.5 and that with %Mag.30 <
40% was 83% and 73%, respectively. Our results indicate that the freq
uency-domain analysis of P craves in lateral leads is useful as is the
time-domain analysis to detect patients with Paf. The AR20 greater th
an or equal to 1.5 and %Mag.30 < 40% provides accurate predictability
of Paf.