Evaluation of new self‐learning techniques for the generation of criteria for differentiation of wide‐QRS tachycardia in supraventricular tachycardia and ventricular tachycardia

This study presents a comparison of three different methods for differentiating between supraventricular and ventricular tachycardias with wide‐QRS complex. One set of criteria, derived using classical statistical techniques, was compared with two new self‐learning computer techniques: the artificial neural networks and the induction algorithm approach. By analyzing the results obtained in an independent test set, using these new techniques, the criteria defined by the classical method could be improved.

[1]  I. Sandler,et al.  The Differential Morphology of Anomalous Ventricular Complexes of RBBB‐Type in Lead V1: Ventricular Ectopy versus Aberration , 1965, Circulation.

[2]  A. Kistin,et al.  Problems in the differentiation of ventricular arrhythmia from supraventricular arrhythmia with abnormal QRS , 1966 .

[3]  H. Marriott,et al.  Criteria, old and new, for differentiating between ectopic ventricular beats and aberrant ventricular conduction in the presence of atrial fibrillation , 1966 .

[4]  H. Wellens,et al.  The value of the electrocardiogram in the differential diagnosis of a tachycardia with a widened QRS complex. , 1978, The American journal of medicine.

[5]  Jerónimo Farré,et al.  The Differentiation between Ventricular Tachycardia and Supraventricular Tachycardia with Aberrant Conduction: The Value of the 12-Lead Electrocardiogram , 1981 .

[6]  Jan L. Talmon.  A multiclass nonparametric partitioning algorithm , 1986, Pattern Recognit. Lett..

[7]  M. Josephson,et al.  Electrocardiographic criteria for ventricular tachycardia in wide complex left bundle branch block morphology tachycardias. , 1988, The American journal of cardiology.

[8]  B. Spears.  Electrocardiographic criteria for ventricular tachycardia in wide complex left bundle branch block morphology tachycardias: Kindwall KE, Brown J, Josephson ME Am J Cardiol 61:1279–1283 Jun 1988 , 1988 .

[9]  W. Dassen,et al.  An Artificial Neural Network to Localize Atrioventricular Accessory Pathways in Patients Suffering from the Wolff‐Parkinson‐White Syndrome , 1990, Pacing and clinical electrophysiology : PACE.

[10]  Josep Brugada,et al.  A New Approach to the Differential Diagnosis of a Regular Tachycardia With a Wide QRS Complex , 1991, Circulation.

[11]  P W Macfarlane,et al.  Neural networks for classification of ECG ST-T segments. , 1992, Journal of electrocardiology.

[12]  R.G.A. Mulleneers,et al.  Further improvement of classical criteria for differentiation of wide-QRS tachycardia in SVT and VT using artificial neural network techniques , 1993, Proceedings of Computers in Cardiology Conference.

[13]  W. Dassen,et al.  Artificial neural networks and ECG interpretation. Use and abuse. , 1993, Journal of electrocardiology.

[14]  J. L. Willems,et al.  Diagnostic ECG classification based on neural networks. , 1993, Journal of electrocardiology.