Reflection of Autonomic Regulation Behaviour Using Short:Term Cross:Spectral Analysis on RR and QT Intervals

Zhan, Ping; Li, Chenxi; Liu, Hongduoer; Peng, Yi

doi:10.22489/cinc.2016.154-344

Cited by 2 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For time-domain analysis, the following parameters were taken into account: mean value of RRI (RRI, ms), the standard deviation of the mean of all sinus rhythm R-R intervals (SDNN, ms), square root of the mean of the squared differences between successive R-R intervals (root-mean-square successive difference, rMSSD) and percentage of differences between successive R-R intervals that are greater than 50 ms on overall normal beats (pNN50, %). For frequency-domain analysis, autoregression (AR) model was used for power spectrum density estimation ( Zhan et al, 2016 ). The following parameters were calculated: low frequency (0.04–0.15 Hz) spectral power (LF); high frequency (0.15–0.40 Hz) spectral power (HF); and LF/HF ratio (LF/HF).…”

Section: Methodsmentioning

confidence: 99%

R-Wave Singularity: A New Morphological Approach to the Analysis of Cardiac Electrical Dyssynchrony

Zhan

Shi

et al. 2020

Front. Physiol.

Self Cite

View full text Add to dashboard Cite

R-wave singularity (RWS) measures the intermittence or discontinuousness of R waves. It has been broadly used in QRS (QRS complex of electrocardiogram) detection, electrocardiogram (ECG) beats classification, etc. In this article, we novelly developed RWS to the analysis of QRS morphology as the measurement of ventricular dyssynchrony and tested the hypothesis that RWS could enhance the discrimination between control and acute myocardial infarction (AMI) patients. Holter ECG recordings were obtained from the Telemetric and Holter ECG Warehouse database, among which database Normal was extracted as normal controls (n = 202) and database AMI (n = 93) as typical subjects of autonomic nervous system dysfunction and cardiac electrical dyssynchrony with high risk for cardiac arrhythmias and sudden cardiac death. Experimental results demonstrate that RWS measured by Lipschitz exponent calculated from 5-min Holter recordings was significantly less negative in early AMI and late AMI than that in Normal subjects for overall, elderly, and elderly male groups, which suggested the heterogeneous depolarization of the ventricular myocardium during AMI. Receiver operating characteristic curve analyses show that combined with heart rate variability parameters, Lipschitz exponent provides higher accuracy in distinguishing between the patients with AMI and healthy control subjects for overall, elderly, elderly male, and elderly female groups. In summary, our study demonstrates the significance of using RWS to probe the cardiac electrical dyssynchrony for AMI. Lipschitz exponent may be valuable and complementary for existing cardiac resynchronization therapy and autonomic nervous system assessment.

show abstract

Section: Methodsmentioning

confidence: 99%

R-Wave Singularity: A New Morphological Approach to the Analysis of Cardiac Electrical Dyssynchrony

Zhan

Shi

et al. 2020

Front. Physiol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In our previous study [6], we applied cross-spectrum method, measuring the linear coupling of RRI and QTI, to characterize alterations in ANS behaviors of those with high risk for cardiac arrhythmias and sudden cardiac death. We have shown that by directional correlation analysis of RRI and QTI based on transfer function.…”

Section: Introductionmentioning

confidence: 99%

Information Theory Based Evaluation of Interactions between RR and QT Intervals in the Normal and People with High Risk for Cardiac Arrhythmias

Pan

Zhan

et al. 2017

Computing in Cardiology Conference (CinC)

Self Cite

View full text Add to dashboard Cite

This project is purposed to evaluate autonomic nerve system (ANS) through the coupling of RR interval (RRI) and QT interval (QTI) using information theory as well as Spearman correlation coefficient (Spearman CC). And the possible changes of their coupling in ESRD (those with high risk for cardiac arrhythmias and sudden cardiac death).The Holter data with 189 Normal and 43 ESRD were provided by THEW. 5min episodes at rest were selected both in daytime and on night. Let predictive information (PI) measure the information that carried by QTI can be predicted by the knowledge of the past of itself and RRI. The information storage and internal information of QT variability (QTV) were determined respectively as the self-entropy of the QTI series and the self-entropy of the series conditioned to the knowledge of RRI. The information transfer and cross information from RRI to QTV were assessed as the coupling of them two. PI on night (PI n) was significantly smaller in ESRD compared with that in Normal (0.258±0.137 vs 0.322±0.142). However, no significant difference was found between PI in daytime (PI d) in Normal and in ESRD. And the decreased PI n led the loss of PI diurnal variation in ESRD(0.275±0.170 vs 0.258±0.137). While in Normal, there were significant difference between PI d and PI n (0.223±0.102 vs 0.322±0.142). Since the decreased PI n in ESRD was mostly due to the changes in transfer entropy, meaning the reduction of RRI and QTI coupling. At the same time, the decreased conditioned self-entropy of QTI revealed less predictability of the past QTI to its present. All the above reflected the loss of sympathetic inhibition in ESRD, especially on night when the vagal activity is dominant and sympathetic activity should be withdrawn. The information theory based approach is not only feasible for assessing ANS activity through the coupling of RRI and QTI, but also provides a measure to characterize QTV related to HRV as well as those unrelated to HRV from nonlinear view.

show abstract

Reflection of Autonomic Regulation Behaviour Using Short:Term Cross:Spectral Analysis on RR and QT Intervals

Abstract: Abstract

Cited by 2 publications

References 10 publications

R-Wave Singularity: A New Morphological Approach to the Analysis of Cardiac Electrical Dyssynchrony

R-Wave Singularity: A New Morphological Approach to the Analysis of Cardiac Electrical Dyssynchrony

Information Theory Based Evaluation of Interactions between RR and QT Intervals in the Normal and People with High Risk for Cardiac Arrhythmias

Contact Info

Product

Resources

About