scholarly journals Prediction of maintenance of sinus rhythm using heart rate variability characteristics after conversion in patients with atrial fibrillation

2005 ◽  
Author(s):  
G. Varoneckas ◽  
A. Martinkenas ◽  
R. Paskeviciute ◽  
A. Podlipskyte ◽  
D. Zemaityte
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Sinus Rhythm

Nonlinear Characterization of Heart Rate Variability in Normal Sinus Rhythm, Atrial Fibrillation and Congestive Heart Failure

2016 ◽  
Author(s):  
Syed Hassan Zaidi ◽  
Imran Akhtar ◽  
Syed Imran Majeed ◽  
Tahir Zaidi ◽  
Muhammad Saif Ullah Khalid
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Heart Rate Variability ◽  
Sinus Rhythm ◽  
Time Series Data ◽  
Normal Sinus Rhythm ◽  
Series Data ◽  
Normal Sinus

This paper highlights the application of methods and techniques from nonlinear analysis to illustrate their far superior capability in revealing complex cardiac dynamics under various physiological and pathological states. The purpose is to augment conventional (time and frequency based) heart rate variability analysis, and to extract significant prognostic and clinically relevant information for risk stratification and improved diagnosis. In this work, several nonlinear indices are estimated for RR intervals based time series data acquired for Healthy Sinus Rhythm (HSR) and Congestive Heart Failure (CHF), as the two groups represent different cases of Normal Sinus Rhythm (NSR). In addition to this, nonlinear algorithms are also applied to investigate the internal dynamics of Atrial Fibrillation (AFib). Application of nonlinear tools in normal and diseased cardiovascular states manifest their strong ability to support clinical decision support systems and highlights the internal complex properties of physiological time series data such as complexity, irregularity, determinism and recurrence trends in cardiovascular regulation mechanisms.

scholarly journals ANALYSIS OF THE RESULTS OF FIVE YEAR PATIENTS FOLLOW-UP IN PAROXYSMAL ATRIAL FIBRILLATION TREATED WITH ANTIARRHYTHMICS

2018 ◽  
pp. 67-72
Author(s):  
T. A. Rybakova ◽  
V. V. Stolyarova ◽  
M. G. Nazarkina ◽  
N. Yu. Leschankina
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Sinus Rhythm ◽  
Paroxysmal Atrial Fibrillation ◽  
Antiarrhythmic Therapy

Aim.To analyze the results of 5-year follow-up of the paroxysmal atrial fibrillation patients (PAF) taking antiarrhythmic therapy (AAT)Material and methods.Patients (n=500) were selected to 11 groups: I — healthy, II — controls, III-XI — PAF taking AAT. The baseline parameters of heart rate variability (HRV) were assessed during 5-year follow-up.Results.Decrease of SDNN does 1,9 times increase the risk of AF development during the first 3 months from preventive AAT start. Decrease of RMSSD does 3,9 times increase the risk of AF during the first 2 weeks, and 1,9 times — 3 months; decrease of Delta X increases the risk of AF 3,9 times during 2 weeks, 2 times — during 3 months, 1,4 times — during 6 months, 1,3 times — during 12 months and 3 years. Increase of Amo does 1,8 times increase the risk of AF during first 3 months. If there was baseline decrease of Delta X and RMSSD, then within 2 weeks the AF paroxysm developed in 7,9% patients, and in 3 months — 15,9% patients. With the decrease of Delta X and RMSSD, in combination with low SDNN, the probability of sinus rhythm retention during 1 year is 51,2%.Conclusion.PAF patients taking preventive AAT demand for ECG assessment of HRV parameters no less than once per 3 months.

Heart Rate Variability Measures During Sinus Rhythm Predict Cycle Length Entropy During Atrial Fibrillation

2008 ◽  
Vol 19 (10) ◽  
pp. 1031-1036 ◽  
Author(s):  
NATHAN M. SEGERSON ◽  
MICHAEL L. SMITH ◽  
STEPHEN L. WASMUND ◽  
ROBERT L. LUX ◽  
MARCOS DACCARETT ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Sinus Rhythm ◽  
Cycle Length

Effect of amiodarone on heart rate variability in patients with newly diagnosed atrial fibrillation (clinical observation)

2020 ◽  
pp. 81-85
Author(s):  
E. P. Popova ◽  
O. T. Bogova ◽  
S. N. Puzin ◽  
D. A. Sychyov ◽  
V. P. Fisenko
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Drug Therapy ◽  
Heart Function ◽  
Newly Diagnosed ◽  
Class Iii ◽  
Spectral Parameters ◽  
Patient Will ◽  
The Individual

Spectral analysis of heart rate variability gives an idea of the role of the autonomic nervous system in the regulation of chronotropic heart function. This method can be used to evaluate the effectiveness of drug therapy. Drug therapy should be carried out taking into account the individual clinical form of atrial fibrillation. Information about the vegetative status of the patient will undoubtedly increase the effectiveness of treatment. In this study, spectral parameters were studied in patients with newly diagnosed atrial fibrillation. The effect of antiarrhythmic drug class III amiodarone on the spectral parameters of heart rate variability was studied.

scholarly journals Left atrial 4D flow cardiovascular magnetic resonance: a reproducibility study in sinus rhythm and atrial fibrillation

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Marco Spartera ◽  
Guilherme Pessoa-Amorim ◽  
Antonio Stracquadanio ◽  
Adam Von Ende ◽  
Alison Fletcher ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Blood Pressure ◽  
Heart Rate ◽  
Cardiovascular Magnetic Resonance ◽  
Magnetic Resonance ◽  
Sinus Rhythm ◽  
Left Atrial ◽  
Peak Velocity ◽  
4D Flow ◽  
Mean Velocity

Abstract Background Four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) allows sophisticated quantification of left atrial (LA) blood flow, and could yield novel biomarkers of propensity for intra-cardiac thrombus formation and embolic stroke. As reproducibility is critically important to diagnostic performance, we systematically investigated technical and temporal variation of LA 4D flow in atrial fibrillation (AF) and sinus rhythm (SR). Methods Eighty-six subjects (SR, n = 64; AF, n = 22) with wide-ranging stroke risk (CHA2DS2VASc 0–6) underwent LA 4D flow assessment of peak and mean velocity, vorticity, vortex volume, and stasis. Eighty-five (99%) underwent a second acquisition within the same session, and 74 (86%) also returned at 30 (27–35) days for an interval scan. We assessed variability attributable to manual contouring (intra- and inter-observer), and subject repositioning and reacquisition of data, both within the same session (same-day scan–rescan), and over time (interval scan). Within-subject coefficients of variation (CV) and bootstrapped 95% CIs were calculated and compared. Results Same-day scan–rescan CVs were 6% for peak velocity, 5% for mean velocity, 7% for vorticity, 9% for vortex volume, and 10% for stasis, and were similar between SR and AF subjects (all p > 0.05). Interval-scan variability was similar to same-day scan–rescan variability for peak velocity, vorticity, and vortex volume (all p > 0.05), and higher for stasis and mean velocity (interval scan CVs of 14% and 8%, respectively, both p < 0.05). Longitudinal changes in heart rate and blood pressure at the interval scan in the same subjects were associated with significantly higher variability for LA stasis (p = 0.024), but not for the remaining flow parameters (all p > 0.05). SR subjects showed significantly greater interval-scan variability than AF patients for mean velocity, vortex volume, and stasis (all p < 0.05), but not peak velocity or vorticity (both p > 0.05). Conclusions LA peak velocity and vorticity are the most reproducible and temporally stable novel LA 4D flow biomarkers, and are robust to changes in heart rate, blood pressure, and differences in heart rhythm.

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