A new method for QRST cancellation is presented for the analysis of atrial
fibrillation in the surface electrocardiogram (ECG), The method is based on
a spatiotemporal signal model which accounts for dynamic changes in QRS mo
rphology caused, e.g,, by variations in the electrical axis of the heart. U
sing simulated atrial fibrillation signals added to normal ECGs, the result
s show that the spatiotemporal method performs considerably better than doe
s straightforward average beat subtraction (ABS). In comparison to the ABS
method, the average QRST-related error was reduced to 58 percent. The resul
ts obtained from ECGs with atrial fibrillation agreed very well with those
from simulated fibrillation signals.