Heart research - Identifying atrial electrical activity in arrhythmias using ECG signals
In many arrhythmias, extraction of atrial activity or cancellation of ventricular activity can be a great help for the physician who tries to identify the type of arrhythmia from ECG signals. In many cases, the P wave is hidden in a QRS complex or in a T wave, and cannot be observed. Our group (in cooperation with Prof. Amos Katz) developed an algorithm for ECG signal separation and p-wave detection that can make the arrhythmia-type decision more convenient [Weissman, Katz, and Zigel, 2009]. A patent for this algorithm has been submitted [Katz, Weissman, and Zigel, 2010].
In another research, performed in cooperation with Dr. Yoram Etzion, we designed an algorithm to detect atrial electrical activity and refractoriness of rodents based on the surface ECG signal [Zigel, Mor, et al., 2009]; this algorithm can advance the tachycardia research and clinical applications in animal models and human.