Modulations of heart rate, ECG, and cardio-respiratory coupling observed in polysomnography
The cardiac component of cardio-respiratory polysomnography is covered by ECG and heart
rate recordings. However, their evaluation is often underrepresented in summarizing reports …
rate recordings. However, their evaluation is often underrepresented in summarizing reports …
Assessment of autonomic function by long-term heart rate variability: Beyond the classical framework of LF and HF measurements
In the assessment of autonomic function by heart rate variability (HRV), the framework that
the power of high-frequency component or its surrogate indices reflects parasympathetic …
the power of high-frequency component or its surrogate indices reflects parasympathetic …
Network physiology: how organ systems dynamically interact
We systematically study how diverse physiologic systems in the human organism
dynamically interact and collectively behave to produce distinct physiologic states and …
dynamically interact and collectively behave to produce distinct physiologic states and …
The new field of network physiology: building the human physiolome
PC Ivanov - Frontiers in network physiology, 2021 - frontiersin.org
The human organism comprises various physiological and organ systems, each with its own
structural organization and functional complexity, leading to complex, transient, fluctuating …
structural organization and functional complexity, leading to complex, transient, fluctuating …
Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations
Entropy measures are widely applied to quantify the complexity of dynamical systems in
diverse fields. However, the practical application of entropy methods is challenging, due to …
diverse fields. However, the practical application of entropy methods is challenging, due to …
Network physiology of exercise: vision and perspectives
The basic theoretical assumptions of Exercise Physiology and its research directions,
strongly influenced by reductionism, may hamper the full potential of basic science …
strongly influenced by reductionism, may hamper the full potential of basic science …
Quantifying signals with power-law correlations: A comparative study of detrended fluctuation analysis and detrended moving average techniques
Detrended fluctuation analysis (DFA) and detrended moving average (DMA) are two scaling
analysis methods designed to quantify correlations in noisy nonstationary signals. We …
analysis methods designed to quantify correlations in noisy nonstationary signals. We …
Effect of nonlinear filters on detrended fluctuation analysis
When investigating the dynamical properties of complex multiple-component physical and
physiological systems, it is often the case that the measurable system's output does not …
physiological systems, it is often the case that the measurable system's output does not …
Experimental Evidence for Phase Synchronization Transitions<? format?> in the Human Cardiorespiratory System
Transitions in the dynamics of complex systems can be characterized by changes in the
synchronization behavior of their components. Taking the human cardiorespiratory system …
synchronization behavior of their components. Taking the human cardiorespiratory system …
Levels of complexity in scale-invariant neural signals
Many physical and physiological signals exhibit complex scale-invariant features
characterized by 1/f scaling and long-range power-law correlations, indicating a possibly …
characterized by 1/f scaling and long-range power-law correlations, indicating a possibly …