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Fractal characterization of complexity in temporal physiological signals
This review first gives an overview on the concept of fractal geometry with definitions and
explanations of the most fundamental properties of fractal structures and processes like self …
explanations of the most fundamental properties of fractal structures and processes like self …
Approaching complexity by stochastic methods: From biological systems to turbulence
This review addresses a central question in the field of complex systems: given a fluctuating
(in time or space), sequentially measured set of experimental data, how should one analyze …
(in time or space), sequentially measured set of experimental data, how should one analyze …
The new field of network physiology: building the human physiolome
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 …
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals
The newly inaugurated Research Resource for Complex Physiologic Signals, which was
created under the auspices of the National Center for Research Resources of the National …
created under the auspices of the National Center for Research Resources of the National …
Network physiology reveals relations between network topology and physiological function
The human organism is an integrated network where complex physiological systems, each
with its own regulatory mechanisms, continuously interact, and where failure of one system …
with its own regulatory mechanisms, continuously interact, and where failure of one system …
Fractal dynamics in physiology: alterations with disease and aging
According to classical concepts of physiologic control, healthy systems are self-regulated to
reduce variability and maintain physiologic constancy. Contrary to the predictions of …
reduce variability and maintain physiologic constancy. Contrary to the predictions of …
Multifractality in human heartbeat dynamics
There is evidence that physiological signals under healthy conditions may have a fractal
temporal structure. Here we investigate the possibility that time series generated by certain …
temporal structure. Here we investigate the possibility that time series generated by certain …
Long-range temporal correlations and scaling behavior in human brain oscillations
The human brain spontaneously generates neural oscillations with a large variability in
frequency, amplitude, duration, and recurrence. Little, however, is known about the long …
frequency, amplitude, duration, and recurrence. Little, however, is known about the long …
Effect of nonstationarities on detrended fluctuation analysis
Detrended fluctuation analysis (DFA) is a scaling analysis method used to quantify long-
range power-law correlations in signals. Many physical and biological signals are “noisy,” …
range power-law correlations in signals. Many physical and biological signals are “noisy,” …
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 …