Academic literature on the topic 'Arrhythmia Heart Heart Nonlinear functional analysis'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Arrhythmia Heart Heart Nonlinear functional analysis.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Arrhythmia Heart Heart Nonlinear functional analysis"

1

Shakhgeldyan, K. I., V. Y. Rublev, B. I. Geltser, et al. "Predictive potential assessment of preoperative risk factors for atrial fibrillation in patients with coronary artery disease after coronary artery bypass grafting." Siberian Journal of Clinical and Experimental Medicine 35, no. 4 (2020): 128–36. http://dx.doi.org/10.29001/2073-8552-2020-35-4-128-136.

Full text
Abstract:
Introduction. Postoperative atrial fibrillation (POAF) is one of the most common complications of coronary artery bypass grafting (CABG) and occurs in 25–65% of patients.Aim. The study aimed to assess the predictive potential of preoperative risk factors for POAF in patients with coronary artery disease (CAD) after CABG based on machine learning (ML) methods.Material and Methods. An observational retrospective study was carried out based on data from 866 electronic case histories of CAD patients with a median age of 63 years and a 95% confidence interval [63; 64], who underwent isolated CABG o
APA, Harvard, Vancouver, ISO, and other styles
2

ASHA, N. D., and K. PAUL JOSEPH. "NONLINEAR INDICES OF HEART RATE VARIABILITY FOR DIFFERENTIATING ARRHYTHMIAS." Journal of Mechanics in Medicine and Biology 13, no. 04 (2013): 1350061. http://dx.doi.org/10.1142/s0219519413500619.

Full text
Abstract:
Heart rate variability (HRV) is the temporal variation between sequences of consecutive heartbeats. Chaos and fractal-based measurements have been widely used for quantifying the HRV for cardiac risk stratification purposes. In this paper, five different sets of HRVs, viz., normal sinus rhythm (NSR), congestive heart failure (CHF), cardiac arrhythmia suppression trial (CAST), supra ventricular tachyarrhythmia (SVTA) and atrial fibrillation (AF), have been analysed using nonlinear parameters to fix the ranges of each parameter. Data were downloaded from the PhysioNet database with 15 sets in ea
APA, Harvard, Vancouver, ISO, and other styles
3

Hernández-Caceres, José Luis, René Iván González-Fernández, Marlis Ontivero-Ortega, and Guido Nolte. "Introducing BisQ, A Bicoherence-Based Nonlinear Index to Explore the Heart Rhythm." Mathematical and Computational Applications 25, no. 3 (2020): 45. http://dx.doi.org/10.3390/mca25030045.

Full text
Abstract:
Nonlinear frequency coupling is assessed with bispectral measures, such as bicoherence. In this study, BisQ, a new bicoherence-derived index, is proposed for assessing nonlinear processes in cardiac regulation. To find BisQ, 110 ten-minute ECG traces obtained from 55 participants were initially studied. Via bispectral analysis, a bicoherence matrix (BC) was obtained from each trace (0.06 to 1.8 Hz with a resolution of 0.01 Hz). Each frequency pair in BC was tested for correlation with the HRV recurrent quantification analysis (RQA) index Lmean, obtained from tachograms from the same ECG trace.
APA, Harvard, Vancouver, ISO, and other styles
4

Abdou, Abdoul-Dalibou, Ndeye Fatou Ngom, and Oumar Niang. "Arrhythmias Prediction Using an Hybrid Model Based on Convolutional Neural Network and Nonlinear Regression." International Journal of Computational Intelligence and Applications 19, no. 03 (2020): 2050024. http://dx.doi.org/10.1142/s1469026820500248.

Full text
Abstract:
In biomedical signal processing, artificial intelligence techniques are used for identifying and extracting relevant information. However, it lacks effective solutions based on machine learning for the prediction of cardiac arrhythmias. The heart diseases diagnosis rests essentially on the analysis of various properties of ECG signal. The arrhythmia is one of the most common heart diseases. A cardiac arrhythmia is a disturbance of the heart rhythm. It occurs when the heart beats too slowly, too fast or anarchically, with no apparent cause. The diagnosis of cardiac arrhythmias is based on the a
APA, Harvard, Vancouver, ISO, and other styles
5

Lapkin, M. M., S. P. Vikhrov, A. V. Alpatov, and M. Y. Mitrofanova. "Fractal-fluctuation analysis of heart rate nonlinear components to parameterize the functional condition." I.P.Pavlov Russian Medical Biological Herald 20, no. 2 (2012): 96. http://dx.doi.org/10.17816/pavlovj2012296-106.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ntiloudi, Despoina, Sotiria Apostolopoulou, Konstantinos Vasiliadis, et al. "Hospitalisations for heart failure predict mortality in pulmonary hypertension related to congenital heart disease." Heart 105, no. 6 (2018): 465–69. http://dx.doi.org/10.1136/heartjnl-2018-313613.

Full text
Abstract:
ObjectiveDespite the progress in the management of patients with adult congenital heart disease (ACHD), a significant proportion of patients still develop pulmonary hypertension (PH). We aimed to highlight the rate of the complications in PH-ACHD and the predicting factors of cumulative mortality risk in this population.MethodsData were obtained from the cohort of the national registry of ACHD in Greece from February 2012 until January 2018.ResultsOverall, 65 patients receiving PH-specific therapy were included (mean age 46.1±14.4 years, 64.6% females). Heavily symptomatic (New York Heart Asso
APA, Harvard, Vancouver, ISO, and other styles
7

Sarshar, Nazanin Tataei, and Mehdi Abdossalehi. "Automated Cardiovascular Arrhythmia Classification Based on Through Nonlinear Features and Tunable-Q Wavelet Transform (TQWT) Based Decomposition." Review of Computer Engineering Studies 8, no. 2 (2021): 35–41. http://dx.doi.org/10.18280/rces.080202.

Full text
Abstract:
Today, cardiovascular disease has become an epidemic. Statistics show that one person dies every 33 seconds due to cardiovascular disease. It is estimated that 33% of men and 10% of women have a heart attack before the age of 60. Arrhythmias are abnormal beats that cause the heart to beat too fast or too slow to pump. Automatic electrocardiogram analysis is critical to the diagnosis and treatment of heart patients. There are several learning methods for analyzing ECG signals to diagnose arrhythmias. In the proposed method, the heart rate signals are decomposed into different sub bands using th
APA, Harvard, Vancouver, ISO, and other styles
8

Long, Wenjie, Huili Liao, Qingqing Liu, et al. "Effect of nitrate treatment on functional capacity and exercise time in patients with heart failure: a systematic review and meta-analysis." Journal of International Medical Research 48, no. 8 (2020): 030006052093974. http://dx.doi.org/10.1177/0300060520939742.

Full text
Abstract:
Objectives Heart failure (HF) is a common and potentially fatal condition. In 2015, HF affected approximately 40 million people globally. Evidence showing that the use of nitrates can improve clinical outcomes in patients with HF is limited. This study aimed to assess the effect of nitrates on functional capacity and exercise time in patients with HF. Methods PubMed, Cochrane Library, and Embase databases were reviewed for articles on the use of nitrates and other treatments for patients with HF. The primary endpoints were the 6-minute walk test distance, exercise time, and quality of life. Se
APA, Harvard, Vancouver, ISO, and other styles
9

Liu, Bin Bin, Ke Liang Zhou, Cen Ye, and Ming Li Zhang. "The Functional Study of Artificial Heart Valve Based on HHT." Applied Mechanics and Materials 568-570 (June 2014): 249–53. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.249.

Full text
Abstract:
The functional study of artificial heart valve has the positive significance on the postoperative care of the patients with valvular heart disease and the precaution of postoperative complications. The analysis of the heart sounds is the most direct way to estimate the function normally of heart. Because of the heart sound is nonlinear and nonstationary. Compared with the normal method of time-frequency analysis, Hilbert-Huang transform can analyze the nonstationary and nonlinear signals more accurate and more effective. Hilbert-Huang transform is introduced to the functional study of artifici
APA, Harvard, Vancouver, ISO, and other styles
10

Bernardi, Luciano, Felice Valle, Stefano Leuzzi, et al. "Non-Respiratory Components of Heart Rate Variability in Heart Transplant Recipients: Evidence of Autonomic Reinnervation?" Clinical Science 86, no. 5 (1994): 537–45. http://dx.doi.org/10.1042/cs0860537.

Full text
Abstract:
1. Although the high-frequency fluctuations in R—R interval (respiratory sinus arrhythmia) observed in heart transplant recipients are not a reliable marker of reinnervation because of a previously shown direct mechanical effect of breathing, the presence of a non-respiration-related low-frequency oscillation reflects rhythms generated outside the heart, and thus could be neurally mediated. 2. To evaluate the presence of reinnervation, the spontaneous variability in R—R interval was investigated, supine and after passive tilting, in 23 heart transplant recipients (age 43 years, range 23–64 yea
APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic "Arrhythmia Heart Heart Nonlinear functional analysis"

1

Bray, Mark-Anthony P. "Visualization and analysis of electrodynamic behavior during cardiac arrhythmias." 2003. http://etd.library.vanderbilt.edu/ETD-db/available/etd-03182003-110637/.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Arrhythmia Heart Heart Nonlinear functional analysis"

1

Neglia, Danilo, and Oliver Gaemperli. "Heart failure." In ESC CardioMed, edited by Philipp Kaufmann. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0126.

Full text
Abstract:
Heart failure (HF) has turned into an increasing global socioeconomic issue associated with a high morbidity and mortality. Cardiac radionuclide imaging offers important clinical information for risk stratification and tailored treatment strategies in patients with HF. Ischaemic cardiomyopathy is the most common cause of HF. Left and right ventricular function can be assessed and quantified with radionuclide ventriculography (RNV) or gated scintigraphic studies. Additionally, radionuclide imaging may help to assess functional and metabolic integrity of dysfunctional myocardium. Chronic myocardial ischaemia can lead to variable reversible states of contractile impairment termed myocardial stunning or hibernation. Radionuclide techniques including positron emission tomography with <sup>18</sup>F-fluorodeoxyglucose or myocardial perfusion scintigraphy can identify viable myocardium with the potential for functional recovery, and thereby guide revascularization procedures. Increased sympathetic myocardial innervation assessed by <sup>131</sup>I-metaiodobenzylguanidine (MIBG) single-photon emission tomography (SPECT) is associated with poorer HF outcomes and higher rates of sudden cardiac death or arrhythmia. Finally, left ventricular mechanical dyssynchrony can be evaluated using Fourier-transformed phase analysis of RNV or gated myocardial perfusion SPECT. This approach could potentially be useful to guide targeted resynchronization therapy in the future.
APA, Harvard, Vancouver, ISO, and other styles
2

Cheshire, William P. "Autonomic Physiology." In Clinical Neurophysiology. Oxford University Press, 2009. http://dx.doi.org/10.1093/med/9780195385113.003.0035.

Full text
Abstract:
The autonomic nervous system consists of three divisions: the sympathetic (thoracolumbar), parasympathetic (craniosacral), and enteric nervous systems. The sympathetic and parasympathetic autonomic outflows involve a two-neuron pathway with a synapse in an autonomic ganglion. Preganglionic sympathetic neurons are organized into various functional units that control specific targets and include skin vasomotor, muscle vasomotor, visceromotor, pilomotor, and sudomotor units. Microneurographic techniques allow recording of postganglionic sympathetic nerve activity in humans. Skin sympathetic activity is a mixture of sudomotor and vasoconstrictor impulses and is regulated mainly by environmental temperature and emotional influences. Muscle sympathetic activity is composed of vasoconstrictor impulses that are strongly modulated by arterial baroreceptors. Heart rate is controlled by vagal parasympathetic and thoracic sympathetic inputs. Vagal influence on the heart rate is strongly modulated by respiration; it is more marked during expiration and is absent during inspiration. This is the basis for the so-called respiratory sinus arrhythmia, which is an important index of vagal innervation of the heart. Power spectral analysis of heart rate fluctuations allows noninvasive assessment of beat-to-beat modulation of neuronal activity affecting the heart. Arterial baroreflex, cardiopulmonary reflexes, venoarteriolar reflex, and ergoreflexes control sympathetic and parasympathetic influences on cardiovascular effectors. The main regulatory mechanism that prevents orthostatic hypotension is reflex arterial vasoconstriction in the splanchnic, renal, and muscular beds triggered by a decrease in transmural pressure at the level of carotid sinus baroreceptors.
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!