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Continuous followup of heart condition through long-term electrocardiogram monitoring is an invaluable tool for diagnosing some cardiac arrhythmias. In such context, providing tools for fast locating alterations of normal conduction patterns is mandatory and still remains an open issue. This paper presents a real-time method for adaptive clustering QRS complexes from multilead ECG signals that provides...
Changes in P wave duration (PWD) following atrial fibrillation (AF) ablation have been described and may have diagnostic value. PWD is usually assessed manually from ECG. This study aimed at exploring a novel method for automated modeling of the P-wave and assessment of PWD. Moreover, it aimed at investigating the effect of hybrid procedure (HP) for AF treatment on PWD. P-wave modeling is achieved...
The present study proposes a novel sorting algorithm for identification of patients with atrial fibrillation in large one-lead ECG repositories. Repeated measurements at home with automatic transmission of data to a central database is presently tested in the search for atrial fibrillation for the long-term purpose to reduce the incidence of stroke. Such screening rapidly generates large databases...
Implantable Cardioverter Defibrillators (ICD) are widely used for sudden cardiac death prevention. In most ICD algorithms, decision making includes a morphological analysis of the unipolar and/or bipolar electrograms (EGM). The principle of such algorithms is to create a "normal" template by averaging normal sinus rhythm heartbeats, for comparison to each arrhythmic heartbeat. The present...
Although implantable cardioverter-defibrillators have improved significantly in the past decades, the algorithms used in the identification of life-threatening arrhythmias are still not accurate enough. Conventional methods commonly misclassify tachycardias, sometimes initiating an unnecessary and uncomfortable treatment. In this paper, we proposed a new method for the identification of ventricular...
In this study the effect of the most useful anaesthetic will be evaluated in patients with atrial fibrillation (AF). Principal component analysis (PCA) has been applied as a method to represent the electrogram recordings in a more efficient manner using fewer channels. Subsequently, PCA was applied to reduce the data set to a few representative activations, measured the average dissimilarity between...
Discrimination of Ventricular Tachycardia (VT) from Supra-Ventricular Tachycardia (SVT) remains a major challenge for appropriate therapy delivery in Implantable Cardioverter Defibrillators (ICDs), especially in single chamber devices. We propose here a new discrimination algorithm that analyzes, with a machine learning approach, the morphology of a two-dimensional representation of both a far-field...
The authors have developed a computer program, called AP, that automatically detects and locates activation events in bipolar electrograms. AP uses a slope threshold to detect events and a pattern-matching technique to locate the time of activation within each activation waveform. For sinus rhythm and paced and ectopic contractions AP has a detection sensitivity of 0.942 and mislocates 16.4% of the...
The authors examine the problem of reliably detecting life-threatening ventricular arrhythmias, discriminating them from other rhythms and imitative artifacts, making use of spectral parameters. They try to show the existence of a clusters' structure in the defined features space, one of each cluster representing a kind of rhythm or artifacts. They used a design set of ECG (electrocardiogram) records...
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