Arrhythmia Diagnosis Using Morphology and Timing from Atrial and Ventricular Leads
نویسندگان
چکیده
Reliable computer arrhythmia diagnosis is mostly restricted to ventricular arrhythmias because information about atrial activation cannot be reliably obtained from surface lead electrocardiograms (ECGs) [1,2,3]. A two channel computer arrhythmia detection system has been designed and successfully tested on a data base of a simultaneous esophageal electrograms and surface lead ECGs. The system has the unique feature of examining the morphology of atrial depolarizations on the esophageal electrogram as well as QRS morphology on the surface EGG. This allows recognition of both ectopic and retrograde atrial activation. The system measures the interval between two consecutive atrial depolarizations (AA interval), the interval between two consecutive ventricular depolarizations (VV interval), and the interval between the atrial and ventricular depolarizations (AV interval). The system has been tested on twenty-nine passages from twenty-one patients. Test results yielded 99.2% accuracy for single beat diagnosis and 99.5% accuracy for underlying arrhythmia diagnosis. There were no false positives or false negatives.
منابع مشابه
Discrimination of the Heart Ventricular and Atrial Abnormalities via a Wavelet-Aided Adaptive Network Fuzzy Inference System (ANFIS) Classifier
The aim of this study is to address a new feature extraction method in the area of the heart arrhythmia classification based on a metric with simple mathematical calculation called Curve-Length Method (CLM). In the presented method, curve length of the under study excerpted segment of signal is considered as an informative feature in which the effect of important geometric parameters of the ori...
متن کاملAutomated 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 at...
متن کاملReal-time arrhythmia identification from automated analysis of intraatrial and intraventricular electrograms.
Implantable cardioverter defibrillators have dramatically improved survival rates for patients at risk of sudden cardiac death, but the occurrence of inappropriate shocks remains an unresolved problem. Various means for better tachycardia detection, chiefly morphological analysis, have been proposed to address this problem. A new computerized scheme entitled Two-Channel Rate-Morphology (2CRM) w...
متن کاملNew manifestations of electrophysiological remodeling of heart during experimental model of atrial fibrillation in cirrhotic rat isolated heart
Introduction: The present study is aimed to evaluate electrophysiological remodeling of atrioventricular (AV) node and ventricular conduction during experimental atrial fibrillation (AF) model in isolated heart of cirrhotic rats. Methods: Cirrhosis-induced electrophysiological remodeling was evaluated in 24 isolated retrogradely perfused rat hearts in 2 groups (control and cirrhotic). Cirrho...
متن کاملNew criteria during right ventricular pacing to determine the mechanism of supraventricular tachycardia.
BACKGROUND Right ventricular pacing (RVP) during supraventricular tachycardia produces progressive QRS fusion before the QRS morphology becomes stable. This transition zone (TZ) may provide useful information for differentiating orthodromic reciprocating tachycardia (ORT) from atrioventricular nodal reentrant tachycardia and atrial tachycardia independent of entrainment success. METHODS AND R...
متن کامل