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

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 Heartbeat Cycle Length Detection by a Ballistocardiographic Sensor in Atrial Fibrillation and Sinus Rhythm

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Matthias Daniel Zink ◽  
Christoph Brüser ◽  
Patrick Winnersbach ◽  
Andreas Napp ◽  
Steffen Leonhardt ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Heart Rate ◽  
Sinus Rhythm ◽  
Quality Index ◽  
Cycle Length ◽  
Heart Rate Monitoring ◽  
Mechanical Vibrations ◽  
Before And After ◽  
Registration Number ◽  
Novel Algorithm

Background.Heart rate monitoring is especially interesting in patients with atrial fibrillation (AF) and is routinely performed by ECG. A ballistocardiography (BCG) foil is an unobtrusive sensor for mechanical vibrations. We tested the correlation of heartbeat cycle length detection by a novel algorithm for a BCG foil to an ECG in AF and sinus rhythm (SR).Methods.In 22 patients we obtained BCG and synchronized ECG recordings before and after cardioversion and examined the correlation between heartbeat characteristics.Results.We analyzed a total of 4317 heartbeats during AF and 2445 during SR with a correlation between ECG and BCG during AF ofr=0.70(95% CI 0.68–0.71,P<0.0001) andr=0.75(95% CI 0.73–0.77,P<0.0001) during SR. By adding a quality index, artifacts could be reduced and the correlation increased for AF to 0.76 (95% CI 0.74–0.77,P<0.0001,n=3468) and for SR to 0.85 (95% CI 0.83–0.86,P<0.0001,n=2176).Conclusion.Heartbeat cycle length measurement by our novel algorithm for BCG foil is feasible during SR and AF, offering new possibilities of unobtrusive heart rate monitoring. This trial is registered with IRB registration number EK205/11. This trial is registered with clinical trials registration numberNCT01779674.

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.

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.

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