Configuration of Unipolar Atrial Electrograms During Electrically Induced Atrial Fibrillation in Humans

Konings, Karen; Smeets, Joep L.R.M.; Penn, Olaf C.; Wellens, Hein J.J.; Allessie, Maurits A.

doi:10.1161/01.cir.95.5.1231

Cited by 411 publications

(357 citation statements)

References 42 publications

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“…10,11 However, the studies by Cox et al 10 did demonstrate the presence of unstable reentrant circuits, principally in the RA, which could be interpreted as causing fibrillatory conduction to the LA and parts of the RA. Likewise, the studies by Konings et al 11 demonstrated 3 activation patterns in the RA, 1 of which included the presence of an unstable reentrant circuit of short CL that may have served as a driver, causing fibrillatory conduction.…”

Section: Patterns Of Activation During Af In Humansmentioning

confidence: 99%

Epicardial Mapping of Chronic Atrial Fibrillation in Patients

et al. 2004

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Background-The mechanisms of chronic atrial fibrillation (AF) are not well understood. We performed epicardial mapping of chronic AF in patients undergoing open heart surgery to test the hypothesis that chronic AF is due to a left atrial "driver" with a regular, short cycle length, resulting in fibrillatory conduction to the rest of the atria. Methods and Results-Nine patients with chronic AF (1 month to Ͼ15 years' duration) were studied at open heart surgery, 8 before and 1 during cardiopulmonary bypass. During AF, atrial electrograms (AEGs) were recorded for 1 to 5 minutes from 404 epicardial electrodes arranged in bipoles along with ECG lead II or ventricular electrogram. Four-second segments of each bipolar AEG were also subjected to fast Fourier transform analysis. Two patterns of atrial activation were present during AF. In pattern 1 (7/9 patients), AEGs from parts of the atria demonstrated a short, regular cycle length with identical beat-to-beat morphology, and the rest of the atria were activated irregularly, and AEGs that demonstrated constant morphology and cycle length were localized to parts of the left atria (5/7), the right atria (1/7), or both atria (1/7). In pattern 2 (2/9 patients), AEGs showed no evidence of regular activation or constant morphology. Conclusions-In 9 patients with chronic AF, the commonest recorded AEG pattern showed an area of regular, rapid rhythm, consistent with the possibility that a driver causing fibrillatory conduction is one mechanism of AF in these patients.

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Section: Patterns Of Activation During Af In Humansmentioning

confidence: 99%

Epicardial Mapping of Chronic Atrial Fibrillation in Patients

et al. 2004

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“…An increase in regularity implies the existence of local activation waves with a decrease of complexity, which is related to the existence of lesser complex activation patterns [24]. Moreover, the upper relevance of the features related to standard deviation of NE and NO showed that the dispersion in the wave morphology and spectral complexities are essential to characterize the benefits of PE.…”

Section: Feature Selection Analysismentioning

confidence: 99%

Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation

Caravaca

Soria-Olivas

Bataller

et al. 2014

Computers in Biology and Medicine

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Abstract:This work presents the application of machine learning techniques to analyze the influence of physical exercise in the heart's physiological properties, during ventricular fibrillation. With that purpose, different kinds of classifiers (linear and neural models) were used to classify between trained and sedentary rabbit hearts. These classifiers were used to perform knowledge extraction through a wrapper feature selection algorithm. The obtained results showed the higher performance of the neural models compared to the linear classifier (higher performance measures and higher dimensionality reduction). The most relevant features to describe the benefits of physical exercise are those related to myocardial heterogeneity, mean activation rate and activation complexity.

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“…From type I to type III, the frequency and irregularity of AF increased, and the incidence of continuous electrical activity and reentry became higher (Konings et al, 1994). Electrogram morphology was found to be an indicator for collision of wavefronts (short double potentials), conduction block (long double potentials), and pivoting points or slow conduction (fragmented potentials) (Konings et al, 1997) and (Kottkamp & Hindricks, 2007). Unfortunately, mapping of high-dominant-frequency areas has been shown not to be effective in chronic AF patients (Sanders et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Nademanee et al (Nademanee et al, 2004) sought to investigate the electrophysiological substrate and referred in their publication introduction to the work of Allessie's group. In a landmark publication, Konings et al (Konings et al, 1997) described high-density mapping of electrically induced AF in patients with Wolff-Parkinson-White syndrome undergoing surgery using a spoon-shaped electrode with 244 unipolar electrodes. In that study, the right atrium was investigated and was found to be activated by one or multiple wavelets propagating in different directions.…”

Section: Introductionmentioning

confidence: 99%