Surface Atrial Frequency Analysis in Patients with Atrial Fibrillation:

Raine, Daniel; Langley, Philip; Murray, Alan; Dunuwille, Asunga; Bourke, John

doi:10.1046/j.1540-8167.2004.04032.x

Cited by 53 publications

(36 citation statements)

References 26 publications

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“…Multi-lead f-wave extraction techniques based on blind source separation techniques such as principal and independent component analysis have been developed [7,16]. These algorithms consider the atrial and ventricular activities of the ECG to arise from mixtures of signals from the atrial and ventricular sources.…”

Section: Application To Multi-lead Ecgmentioning

confidence: 99%

“…The blind source separation process aims to separate the atrial and ventricular activities into different components considering all recorded leads. Here we consider principal component analysis as the blind source separation algorithm [7,15,32]. …”

Section: Application To Multi-lead Ecgmentioning

confidence: 99%

“…The f-wave yields useful information about the underlying arrhythmia. For example, the atrial activation rate can be determined non-invasively rather than by invasive electrophysiological study [3,4], it contains information about the complexity of the underlying atrial propagation [5,6] and the effects of treatment can be quantified and predicted [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Wavelet Entropy as a Measure of Ventricular Beat Suppression from the Electrocardiogram in Atrial Fibrillation

Langley

2015

Entropy

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A novel method of quantifying the effectiveness of the suppression of ventricular activity from electrocardiograms (ECGs) in atrial fibrillation is proposed. The temporal distribution of the energy of wavelet coefficients is quantified by wavelet entropy at each ventricular beat. More effective ventricular activity suppression yields increased entropies at scales dominated by the ventricular and atrial components of the ECG. Two studies are undertaken to demonstrate the efficacy of the method: first, using synthesised ECGs with controlled levels of residual ventricular activity, and second, using patient recordings with ventricular activity suppressed by an average beat template subtraction algorithm. In both cases wavelet entropy is shown to be a good measure of the effectiveness of ventricular beat suppression.

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Section: Application To Multi-lead Ecgmentioning

confidence: 99%

Section: Application To Multi-lead Ecgmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wavelet Entropy as a Measure of Ventricular Beat Suppression from the Electrocardiogram in Atrial Fibrillation

Langley

2015

Entropy

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“…The derivation of AS requires advanced signal processing techniques, since atrial and ventricular activities, during AF, overlap in time and frequency. These techniques include averaged beat subtraction (ABS) [4], spatio-temporal QRS-T cancellation [5] or methods based on independent (ICA) or principal (PCA) component analysis [6,7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of surface atrial signals using spectral methods for time series with missing data

Sassi¹,

Corino

Mainardi

2007

2007 Computers in Cardiology

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In this work, the analysis of atrial signals recorded during atrial fibrillation was pursued using two spectral estimators designed for series with missing data: the Lomb periodogram (LP) and the Iterative Singular Spectrum Analysis (ISSA). The main aim is to verify if subtraction of the ventricular activity might be avoided by performing spectral analysis on those ECG intervals where such activity is absent, (i.e. the T-Q intervals), at least to estimate the dominant atrial Fibrillatory Frequency (FF).Recordings coming from the 2004 Computers in Cardiology Termination Challenge Database were analyzed. Fibrillatory frequencies were then compared with those obtained from the analysis of the correspondent atrial signals extracted using a modified Average Beat Substraction (ABS) technique. We observed that the mean absolute difference was 0.42 ± 0.66 Hz for LP, (mean±SD), and 0.39 ± 0.64 Hz for ISSA. We concluded that estimation of FF is feasible without applying QRS-T subtraction.

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“…A non-invasive method for extracting an index of atrial refractoriness from the ECG has been developed [5,6,7,8], and its possible clinical merits demonstrated [9,10]. However, not only atrial refractoriness is of potential clinical importance.…”

Section: Introductionmentioning

confidence: 99%

Non-invasive assessment of direction of right atrial activation during atrial fibrillation using correlation function analysis

Carlson

Holmqvist

Olsson

et al. 2007

2007 Computers in Cardiology

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Surface Atrial Frequency Analysis in Patients with Atrial Fibrillation:

Abstract: A technique for continuously analyzing atrial frequency characteristics of AF from the surface ECG has been developed and validated.

Cited by 53 publications

References 26 publications

Wavelet Entropy as a Measure of Ventricular Beat Suppression from the Electrocardiogram in Atrial Fibrillation

Wavelet Entropy as a Measure of Ventricular Beat Suppression from the Electrocardiogram in Atrial Fibrillation

Analysis of surface atrial signals using spectral methods for time series with missing data

Non-invasive assessment of direction of right atrial activation during atrial fibrillation using correlation function analysis

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