In Search of a Perfect Partnership

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/74969/1/j.1540-8159.1992.tb02911.x.pd

Digital Signal Processing Chip Implementation for Detection and Analysis of Intracardiac Electrograms

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72573/1/j.1540-8159.1994.tb02456.x.pd

Tachycardia Detection in Implantable Antitachycardia Devices

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72807/1/j.1540-8159.1984.tb05695.x.pd

Paroxysmal Bundle Branch Block of Supraventricular Origin: A Possible Source of Misdiagnosis in Detecting Ventricular Tachycardia Using Time Domain Analyses of Intraventricular Electrograms

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72385/1/j.1540-8159.1990.tb02060.x.pd

Monophasic Action Potential Duration During Programmed Electrical Stimulation

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73599/1/j.1540-8159.1991.tb04156.x.pd

Use of the Pill Electrode for Transesophageal Atrial Pacing

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72094/1/j.1540-8159.1985.tb05853.x.pd

A new computer diagnostic system for ventricular and supraventricular arrhythmias

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/27625/1/0000669.pd

Identification of ventricular tachycardia using morphologic analysis of the intraventricular electrogram

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/27624/1/0000668.pd

Automated interpretation of cardiac arrhythmias : Design and evaluation of a computerized model

Historically, the development of computerized models that utilize the deductive methods used by clinicians for the interpretation of cardiac arrhythmias have been limited by the absence of a consistently reliable means of detecting atrial activation. In this study, a theoretical model was developed with a hierarchical organization of problem-solving strategies utilizing automated analysis of atrial activation from a commercially available esophageal pill electrode and ventricular activation from a simultaneously recorded surface electrocardiographic lead. The theoretical model was then tested in 21 patients with 1 or more or 28 distinct supraventricular and ventricular arrhythmias. Of the 641 individual cardiac cycles analyzed, 636 (99.2%) were correctly identified. The accuracy of a contextual, that is, more comprehensive, interpretation of consecutive cardiac cycles was 638/641 (99.5%). The following cardiac arrhythmias were identified: sinus rhythm, sinus bradycardia, atrial premature depolarizations, atrial flutter, and supraventricular tachycardias with normal and aberrant ventricular conduction, first-degree and second-degree heart block; junctional escape, junctional rhythm, idioventricular rhythm, ventricular premature depolarization, and ventricular tachycardia with and without retrograde activation; atrial bigeminy, atrial trigeminy, atrial couplets, ventricular bigeminy, ventricular trigeminy, and ventricular couplets. This study represents the first computerized model ever developed to incorporate the morphology and timing of atrial activation with the morphology and timing of ventricular activation for arrhythmia diagnosis. Such modeling appears to be capable of achieving accurate interpretation of spontaneous, complex clinical cardiac arrhythmias and atrioventricular relationships.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/31035/1/0000712.pd

Automatic Tachycardia Recognition

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73320/1/j.1540-8159.1984.tb04948.x.pd