Signal Characterization of Atrial Arrhythmias using the Surface ECG
This doctoral thesis is comprised of five parts which deal with different signal processing problems in ECG-based characterization of atrial arrhythmias. Such characterization requires that the ventricular activity has first been cancelled in the ECG. In Part I, a new method for cancellation of the QRST complexes in recordings with atrial fibrillation is presented. The method is based on a spatiot
