Arrhythmia

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منابع مشابه

Effect of gallic acid on electrophysiological properties and ventricular arrhythmia following chemical-induced arrhythmia in rat

Objective(s): Ventricular arrhythmias including ventricular tachycardia (VT) and ventricular fibrillation (VF) are the most important causes of mortality rate. Gallic acid (GA) has beneficial effects on cardiovascular diseases. The aim of this study was to evaluate the effects of GA on electrophysiological parameters such as QRS complex, heart rate (HR), PR interval pa...

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Caffeine and arrhythmia.

Many dietary supplements promise to improve physical and mental functioning, but caffeine, an age-old food component, is one of the few that delivers. Caffeine makes its consumers awake and alert, and it improves performance (1). Therefore, coffee could be called a functional food. But is it safe? If coffee were discovered today, it would probably be regarded, in the European Union’s terminolog...

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Multiple and Concurrent Arrhythmia.

Given the unique interventional emphasis in our specialty, Teaching Rounds in Cardiac Electrophysiology has frequently centered on the pearls and pitfalls associated with electrogram analysis and complications of lead implant extraction or ablation and in mapping complex arrhythmia circuits. In this issue of Circulation: Arrhythmia and Electrophysiology, Fabrizio et al, in a refreshing departur...

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Inherited arrhythmia syndromes.

Inherited cardiac arrhythmia syndromes have received a lot of attention in recent years, particularly the molecular genetic basis, which has been unraveled to a great extent in the past years. Disease entities have been subdivided based on their causal gene defect, which, indeed, has been shown to impact on disease expression, clinical characteristics, prognosis and treatment. This particularly...

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Classification of Arrhythmia

The electrocardiogram (ECG) signal has great importance in diagnosing cardiac arrhythmias. In this paper we have compared three classifiers on the basis of their accuracies for the detection of arrhythmia. The algorithms that are used for classification are supervised machine learning algorithm. The performance of the classifier depends upon its accuracy rate. The classifiers used are Nearest N...

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ژورنال

عنوان ژورنال: Canadian Medical Association Journal

سال: 2010

ISSN: 0820-3946,1488-2329

DOI: 10.1503/cmaj.100653