Rhythm classification using reconstructed phase space of signal frequency sub-bands

F.M. Roberts, R.J. Povinelli, K.M. Ropella
2003 Computers in Cardiology, 2003  
A preliminary study in the use of frequency sub-bands with reconstructed phase spaces (RPS) to distinguish between normal and abnormal atrial activity in an attempt to separate the atrial activation components from the ventricular activation components is presented. Two-second ECG Holter recordings of sinus rhythm (SR), atrial flutter (AFL), atrial fibrillation (AF), supraventricular tachycardia (SVT) and ventricular tachycardia (VT) were filtered into four [5] [6] [7] [8] [9] [10] [10] [11]
more » ... ] [13] [14][15][16][17][18][19][20] and embedded into a 3dimensional RPS. Gaussian mixture models of the subbanded RPS were learned The models learned over the 5-10 and 10-20Hz bands had the best overall classification accuracy. SR was best classified in the 5-10Hz band with no false positives in the 10-20Hz band.
doi:10.1109/cic.2003.1291090 fatcat:cbov4lk2lvcg7pwphpjbikdbcm