Risk stratification in advanced heart failure using lorenz plot indices of heart rate variability

Esperer, Hans D.; Esperer, Hans-D.; Chernyak, J.B.

doi:10.1109/cic.2004.1442909

Cited by 9 publications

(14 citation statements)

References 9 publications

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“…The wide fan distribution of the RR intervals during the period of bradycardia reflects the influence of parasympathetic tone. 7-11 In frame B of Fig.6 the short RR intervals are absent, with only longer RR intervals distributed above approximately 1200 msec. Parasympathetic influence is again evidenced by the fan shape; 7-11 however, a subpopulation of RR intervals more densely concentrated is seen as an elliptical or ‘torpedo or bullet’ shape 7 above 1500 msec (upper right corner).…”

Section: Image Interpretation: Fig 6 Poincaré Plots Of the Changing mentioning

confidence: 95%

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Poincaré plots and tachograms reveal beat patterning in sick sinus syndrome with supraventricular tachycardia and varying AV nodal block

Gladuli

Moı̈se

Hemsley

et al. 2011

Journal of Veterinary Cardiology

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Using 24-hour ambulatory electrocardiography, the RR intervals of all beats were determined in a West Highland white terrier with sick sinus syndrome characterized by sinus arrest, bradycardia, supraventricular tachycardia (SVT) and varying degrees of atrioventricular (AV) heart block and long sinus pauses. Distinctive patterns of bradycardia and 1:1, 2:1, 3:1, 4:1 and 5:1 AV block associated with SVT were evident in the tachogram (RR interval distribution over time) and Poincaré plots (short-term heart rate variability plots of RRn versus RRn + 1). These patterns differed from those of abrupt alteration in cycle length during long sinus pauses or bursts of supraventricular tachycardia. Recognition of such patterns may direct attention to time points for which close attention to the cardiac rhythm should be evaluated in the full-disclosure of the 24-hour ECG recording.

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Section: Image Interpretation: Fig 6 Poincaré Plots Of the Changing mentioning

confidence: 95%

“…6-10 Studies of the resulting relationships/patterns have been used to understand the restitution curves of repolarization, 6 effective refractory periods, 6 and influences of autonomic tone on beat to beat intervals. 7-11 …”

mentioning

confidence: 99%

Poincaré plots and tachograms reveal beat patterning in sick sinus syndrome with supraventricular tachycardia and varying AV nodal block

Gladuli

Moı̈se

Hemsley

et al. 2011

Journal of Veterinary Cardiology

View full text Add to dashboard Cite

show abstract

“…Conventional indexes based on LP including long axis, short axis and their ratio have a poor anti-jamming ability of occasional arrhythmia [10,17] . The nearly circular LP distribution of arrhythmia ECG has introduced the analysis of the correlation between the radius size of the circle and the HRV, which has been proved with academic logic [18][19][20] .…”

Section: Lorenz Plotmentioning

confidence: 99%

“…However, DF seems to lose the information about the variability of activation rate for multi-rhythm signals. As a conventional method to evaluate heart rate variability (HRV), Lorenz plot (LP) can just make up for the shortfall [10] .…”

Section: Introductionmentioning

confidence: 99%

Evaluating epicardial mapping electrogram by the method of dominant frequency and Lorenz plot

Wang

Yang

Chen

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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The methods of dominant frequency and Lorenz plot are used in this study to evaluate the activation rate and the activation rate variability of cardiac signals during atrial fibrillation. An epicardial mapping system was applied to acquire the atrial electrogram of mongrel dogs. The dominant frequency and Lorenz plot of each signal from various myocardial regions of the atria were analyzed. Our results show that both a frequency gradient and a variability gradient exist in the atria and the roots of pulmonary veins. The dominant frequencies of the anterior atria are higher than the posterior ones and the activation variability of both atria was higher than those of the pulmonary veins. A combination of these two methods may provide a more comprehensive understanding of the electrophysiology mechanism associated with atrial fibrillation.

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“…Using dedicated software [4], we assessed the symmetry properties of each Poincaré plot at time lags = 1 cycle and = 1000 cycles, respectively. For that purpose, the Poincaré plot data were represented in the coordinate system (x,y) which was rotated 45° counter clockwise ( Fig.1 ) and given by:…”

Section: Holter and Poincaré Plot Analysismentioning

confidence: 99%

Mechanisms of asymmetric Poincaré plots obtained by means of 24-Hour Holter monitoring in athletes

Esperer

2008

2008 Computers in Cardiology

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We investigated the electrocardiographic mechanisms of asymmetric two-dimensional Poincaré plots (PPs) obtained by 24-hour Holter monitoring (HoM). Twenty-seven (11 females) young athletes (A) aged 25 ± 4 years and ten healthy age-matched controls (B) underwent HoM using a Spiderview™ recorder. Twodimensional PPs were constructed and systematically explored regarding the underlying ECG waveforms Asymmetry (∆W) was due to: ( 1 ) wandering atrial pacemaker activity) (100 % ), ( 2 ) sudden decreases in cycle lengths (SDC); (60 %), ( 3 ) sudden increases in cycle length (SIC) (70 %), and ( 4 ) frequent blocked premature atrial depolarizations (10%).Asymmetry was strongly correlated to instantaneous HRV and, thus, may be a measure of efferent vagal activity.

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Risk stratification in advanced heart failure using lorenz plot indices of heart rate variability

Cited by 9 publications

References 9 publications

Poincaré plots and tachograms reveal beat patterning in sick sinus syndrome with supraventricular tachycardia and varying AV nodal block

Poincaré plots and tachograms reveal beat patterning in sick sinus syndrome with supraventricular tachycardia and varying AV nodal block

Evaluating epicardial mapping electrogram by the method of dominant frequency and Lorenz plot

Mechanisms of asymmetric Poincaré plots obtained by means of 24-Hour Holter monitoring in athletes

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