The Experts below are selected from a list of 83799 Experts worldwide ranked by ideXlab platform
David C Randall - One of the best experts on this subject based on the ideXlab platform.
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Heart Rate Variability analysis in the assessment of autonomic function in Heart failure
Journal of Cardiovascular Nursing, 2005Co-Authors: Maj Marla J De Jong, David C RandallAbstract:Abstract : Heart Rate is not static but rather changes continuously in response to physical and mental demands. In fact, an invariant Heart Rate is associated with disease processes such as Heart failure. Heart Rate Variability analysis is a noninvasive technique used to quantify fluctuations in Heart Rate. In this paper, we review neural control of Heart Rate, briefly describe Heart Rate Variability, and summarize research data demonstrating that Heart failure is associated with altered Heart Rate Variability. In addition, we present evidence that Heart failure patients with decreased Heart Rate Variability are at risk for future cardiac events, need for Heart transplantation, and death.
Maj Marla J De Jong - One of the best experts on this subject based on the ideXlab platform.
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Heart Rate Variability analysis in the assessment of autonomic function in Heart failure
Journal of Cardiovascular Nursing, 2005Co-Authors: Maj Marla J De Jong, David C RandallAbstract:Abstract : Heart Rate is not static but rather changes continuously in response to physical and mental demands. In fact, an invariant Heart Rate is associated with disease processes such as Heart failure. Heart Rate Variability analysis is a noninvasive technique used to quantify fluctuations in Heart Rate. In this paper, we review neural control of Heart Rate, briefly describe Heart Rate Variability, and summarize research data demonstrating that Heart failure is associated with altered Heart Rate Variability. In addition, we present evidence that Heart failure patients with decreased Heart Rate Variability are at risk for future cardiac events, need for Heart transplantation, and death.
Olexander Semchyshyn - One of the best experts on this subject based on the ideXlab platform.
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Detection characteristics computation of nonstationarity Heart Rate Variability by Neyman-Pearson criterion
2008 International Conference on "Modern Problems of Radio Engineering Telecommunications and Computer Science" (TCSET), 2008Co-Authors: Yury Leschyshyn, Olexander Semchyshyn, Vasyl DozorskyyAbstract:Heart Rate Variability as the periodically correlated stochastic process is presented. The coherent method of digital spectrum analysis for the computation of characteristics of nonstationarity Heart Rate Variability detection by the Neyman-Pearson criterion is applied.
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Periodically correlated Heart Rate Variability detection by Neyman - Pearson criterion
2007 9th International Conference - The Experience of Designing and Applications of CAD Systems in Microelectronics, 2007Co-Authors: Yury Leschyshyn, Olexander SemchyshynAbstract:Representations of Heart Rate Variability by periodically correlated stochastic process are grounded. Method of test statistics computation and detection characteristics of periodically correlated Heart Rate Variability by Neyman-Pearson criterion is considered.
Yury Leschyshyn - One of the best experts on this subject based on the ideXlab platform.
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Detection characteristics computation of nonstationarity Heart Rate Variability by Neyman-Pearson criterion
2008 International Conference on "Modern Problems of Radio Engineering Telecommunications and Computer Science" (TCSET), 2008Co-Authors: Yury Leschyshyn, Olexander Semchyshyn, Vasyl DozorskyyAbstract:Heart Rate Variability as the periodically correlated stochastic process is presented. The coherent method of digital spectrum analysis for the computation of characteristics of nonstationarity Heart Rate Variability detection by the Neyman-Pearson criterion is applied.
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Periodically correlated Heart Rate Variability detection by Neyman - Pearson criterion
2007 9th International Conference - The Experience of Designing and Applications of CAD Systems in Microelectronics, 2007Co-Authors: Yury Leschyshyn, Olexander SemchyshynAbstract:Representations of Heart Rate Variability by periodically correlated stochastic process are grounded. Method of test statistics computation and detection characteristics of periodically correlated Heart Rate Variability by Neyman-Pearson criterion is considered.
Marek Malik - One of the best experts on this subject based on the ideXlab platform.
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Heart Rate Variability analysis in general medicine.
Indian pacing and electrophysiology journal, 2003Co-Authors: Yi Gang, Marek MalikAbstract:Autonomic nervous system plays an integral role in homeostasis. Autonomic modulation can frequently be altered in patients with cardiac disorders as well as in patients with other critical illnesses or injuries. Assessment of Heart Rate Variability is based on analysis of consecutive normal R-R intervals and may provide quantitative information on the modulation of cardiac vagal and sympathetic nerve input. The hypothesis that depressed Heart Rate Variability may occur over a broad range of illness and injury, and may inversely correlated with disease severity and outcome has been tested in various clinical settings over the last decade. This article reviews recent literature concerning the potential clinical implications and limitations of Heart Rate Variability assessment in general medicine.
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Heart Rate Variability
Current Opinion in Cardiology, 1998Co-Authors: Marek MalikAbstract:Heart Rate Variability is a recognized tool for the estimation of cardiac autonomic modulations. Recently, several studies have advanced the field of Heart Rate Variability in three areas: 1) in technical modes of electrocardiogram processing and Heart Rate Variability assessment, 2) in physiologic
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Heart Rate Variability origins methods and interpretive caveats
Psychophysiology, 1997Co-Authors: Gary G Berntson, Marek Malik, Thomas J Bigger, Dwain L Eckberg, Paul Grossman, Peter G Kaufmann, H N Nagaraja, Stephen W Porges, Philip J Saul, Peter H StoneAbstract:: Components of Heart Rate Variability have attracted considerable attention in psychology and medicine and have become important dependent measures in psychophysiology and behavioral medicine. Quantification and interpretation of Heart Rate Variability, however, remain complex issues and are fraught with pitfalls. The present report (a) examines the physiological origins and mechanisms of Heart Rate Variability, (b) considers quantitative approaches to measurement, and (c) highlights important caveats in the interpretation of Heart Rate Variability. Summary guidelines for research in this area are outlined, and suggestions and prospects for future developments are considered.
