Nonlinear properties of cardiac rhythm and respiratory signal under paced breathing in young and middle-aged healthy subjects

Kapidžić, Ana; Platiša, M.; Bojić, Tijana; Kalauzi, Aleksandar

doi:10.1016/j.medengphy.2014.08.007

Cited by 30 publications

(23 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…3 and 4), corresponding to the known relatively small normal variability of heart rate in healthy subjects [29, 30]. AF patients presented a broader range of distribution in histograms and a disorganized distribution in Poincaré plots (Figs.…”

Section: Resultsmentioning

confidence: 99%

Use of self-gated radial cardiovascular magnetic resonance to detect and classify arrhythmias (atrial fibrillation and premature ventricular contraction)

Piekarski

Chițiboi

Ramb

et al. 2016

Journal of Cardiovascular Magnetic Resonance

View full text Add to dashboard Cite

BackgroundArrhythmia can significantly alter the image quality of cardiovascular magnetic resonance (CMR); automatic detection and sorting of the most frequent types of arrhythmias during the CMR acquisition could potentially improve image quality. New CMR techniques, such as non-Cartesian CMR, can allow self-gating: from cardiac motion-related signal changes, we can detect cardiac cycles without an electrocardiogram. We can further use this data to obtain a surrogate for RR intervals (valley intervals: VV). Our purpose was to evaluate the feasibility of an automated method for classification of non-arrhythmic (NA) (regular cycles) and arrhythmic patients (A) (irregular cycles), and for sorting of common arrhythmia patterns between atrial fibrillation (AF) and premature ventricular contraction (PVC), using the cardiac motion-related signal obtained during self-gated free-breathing radial cardiac cine CMR with compressed sensing reconstruction (XD-GRASP).MethodsOne hundred eleven patients underwent cardiac XD-GRASP CMR between October 2015 and February 2016; 33 were included for retrospective analysis with the proposed method (6 AF, 8 PVC, 19 NA; by recent ECG). We analyzed the VV, using pooled statistics (histograms) and sequential analysis (Poincaré plots), including the median (medVV), the weighted mean (meanVV), the total number of VV values (VVval), and the total range (VVTR) and half range (VVHR) of the cumulative frequency distribution of VV, including the median to half range (medVV/VVHR) and the half range to total range (VVHR/VVTR) ratios. We designed a simple algorithm for using the VV results to differentiate A from NA, and AF from PVC.ResultsBetween NA and A, meanVV, VVval, VVTR, VVHR, medVV/VVHR and VVHR/VVTR ratios were significantly different (p values = 0.00014, 0.0027, 0.000028, 5×10−9, 0.002, respectively). Between AF and PVC, meanVV, VVval and medVV/VVHR ratio were significantly different (p values = 0.018, 0.007, 0.044, respectively). Using our algorithm, sensitivity, specificity, and accuracy were 93 %, 95 % and 94 % to discriminate between NA and A, and 83 %, 71 %, and 77 % to discriminate between AF and PVC, respectively; areas under the ROC curve were 0.93 and 0.89.ConclusionsOur study shows we can reliably detect arrhythmias and differentiate AF from PVC, using self-gated cardiac cine XD-GRASP CMR.

show abstract

Section: Resultsmentioning

confidence: 99%

Use of self-gated radial cardiovascular magnetic resonance to detect and classify arrhythmias (atrial fibrillation and premature ventricular contraction)

Piekarski

Chițiboi

Ramb

et al. 2016

Journal of Cardiovascular Magnetic Resonance

View full text Add to dashboard Cite

show abstract

“…are used as statistics to evaluate complex systems. SampEn can be evaluated from time-series data with irregular fluctuations 8 and has been used to examine the complexity of time-series data for biological signals such as electroencephalogram (EEG), 9,10 ECG of the R-R interval, [11][12][13][14][15] and respiratory movement. 16 For example, SampEn for EEG was proposed to monitor the depth of anesthesia for patients during surgery, and SampEn has been found to be more feasible for real-time detection.…”

mentioning

confidence: 99%

Sample Entropy in Electrocardiogram During Atrial Fibrillation

et al. 2018

View full text Add to dashboard Cite

Background Atrial fibrillation (AF) is an arrhythmia commonly encountered in clinical practice. There is a high risk of thromboembolism in patients with AF. Nonlinear analyses such as electroencephalogram (EEG), electrocardiogram (ECG), and respiratory movement have been used to quantify biological signals, and sample entropy (SampEn) has been employed as a statistical measure to evaluate complex systems. In this study, we examined the values of SampEn in ECG signals for patients with and without AF to measure the regularity and complexity. Methods ECG signals of lead II were recorded from 34 subjects without arrhythmia and 15 patients with chronic AF in a supine position. The ECG signals were converted into time-series data and SampEn was calculated. Results The SampEn values for the group without arrhythmia were 0.252 ± 0.114 [time lag (τ) = 1] and 0.533 ± 0.163 (τ = 5), and those for the chronic AF group were 0.392 ± 0.158 (τ = 1) and 0.759 ± 0.246 (τ = 5). The values of SampEn were significantly higher in the group with chronic AF than in the group without arrhythmia (P < 0.01 for τ = 1, P < 0.004 for τ = 5). The constructed three-dimensional vectors were plotted in time-delayed three-dimensional space. We used time lags of τ = 5 and τ = 1. The shape of the loops of the three-dimensional space was better for τ = 5. Conclusion The values of SampEn from ECG for chronic AF patients were higher than for subjects without arrhythmia, suggesting greater complexity for the time-series from chronic AF patients. SampEn is considered a new index for evaluating complex systems in ECG.

show abstract

“…Los datos fisiológicos corresponden a cuatro grupos a los que se les aplicó el siguiente tratamiento: 1) vehículo (V; solución salina n=7); 2) oxitocina (Ox; 3 UI/Kg administrada subcutáneamente, n=8); 3) lipopolisacárido (LPS; 0.1mg/Kg administración intraperitoneal, (1)…”

Section: Base De Datos De Electrocardiogramas Telemétricosunclassified

“…Es importante mencionar que la aportación adicional de los resultados aquí presentados respecto a trabajos previos [13] , se basan en la implementación de métodos jóvenes y adultos de edad media [1] y recientemente en estados de depresión [32] .…”

Section: Análisis Estadísticounclassified

“…En la actualidad, el estudio de la interacción de fenómenos fisiológicos en los seres vivos ha tenido avances significativos, específicamente la medición de correlaciones entre señales fisiológicas ha sido motivo de diversas investigaciones. Hallazgos importantes combinan la aplicación de métodos de análisis de series de tiempo con el registro simultáneo de una o más señales fisiológicas [1]. En particular, la interacción de fluctuaciones R-R extraída del electrocardiograma (ECG) con la actividad respiratoria, es uno de los fenómenos fisiológicos más explorados con estos métodos [2,3] .…”

Section: Introductionunclassified

See 1 more Smart Citation

Comparación de Algoritmos Lineales y no Lineales para la Detección del Desacoplamiento Cardiorrespiratorio en Ratas Endotoxémicas

Flores-Duarte

Pliego-Carrillo

Ledesma-Ramírez

et al.

View full text Add to dashboard Cite

Previous studies have shown that LPS-induced endotoxemia causes a cardiorespiratory (CRP) uncoupling owing to the physiological effects of systemic inflammation. Also, it is known that oxytocin has anti-inflammatory effects and cardioprotective properties; however, it is unknown whether it can modify the CRP coupling. This study aimed to compare different linear and nonlinear mathematics methods for the detection of cardiorespiratory uncoupling between cardiac and respiratory time series. The R-R time series of electrocardiograms of male rodents that were administered with saline solution (V); lipopolysaccharide (LPS); oxytocin (O) and LPS + oxytocin (LPS + Ox) were studied. We tested the R-R and respiratory series derived from the electrocardiogram (EDR) for the four groups to quantify the degree of coupling with cross-correlation; cross sample entropy; conditional entropy; mutual information; and Rényi's mutual information. We found that oxytocin does not seem to favor the CRP coupling during endotoxemia induced by LPS. Finally, we observed that the cross-sample entropy and the conditional entropy presented the highest statistical differences to identify the CRP uncoupling produced by LPS.

show abstract

Nonlinear properties of cardiac rhythm and respiratory signal under paced breathing in young and middle-aged healthy subjects

Cited by 30 publications

References 37 publications

Use of self-gated radial cardiovascular magnetic resonance to detect and classify arrhythmias (atrial fibrillation and premature ventricular contraction)

Use of self-gated radial cardiovascular magnetic resonance to detect and classify arrhythmias (atrial fibrillation and premature ventricular contraction)

Sample Entropy in Electrocardiogram During Atrial Fibrillation

Comparación de Algoritmos Lineales y no Lineales para la Detección del Desacoplamiento Cardiorrespiratorio en Ratas Endotoxémicas

Contact Info

Product

Resources

About