activity
20042012
most citedNetwork Physiology reveals relations between network topology and physiological function

726 citations · 1.4k across the 5 of their papers we have counts for

collaborators

5 papers

physics.data-an2012★ 726 cited

Network Physiology reveals relations between network topology and physiological function

Amir Bashan, Ronny P. Bartsch, Jan W. Kantelhardt +2

The human organism is an integrated network where complex physiologic systems, each with its own regulatory mechanisms, continuously interact, and where failure of one system can t…

physics.data-an2010★ 125 cited

Effect of extreme data loss on long-range correlated and anti-correlated signals quantified by detrended fluctuation analysis

Qianli D. Y. Ma, Ronny P. Bartsch, Pedro Bernaola-Galván +2

We investigate how extreme loss of data affects the scaling behavior of long-range power-law correlated and anti-correlated signals applying the DFA method. We introduce a segmenta…

q-fin.ST2008★ 321 cited

Comparison of detrending methods for fluctuation analysis

Amir Bashan, Ronny Bartsch, Jan W. Kantelhardt +1

We examine several recently suggested methods for the detection of long-range correlations in data series based on similar ideas as the well-established Detrended Fluctuation Analy…

physics.data-an2007★ 205 cited

Experimental evidence for phase synchronization transitions in human cardio-respiratory system

Ronny Bartsch, Jan W. Kantelhardt, Thomas Penzel +1

Transitions in the dynamics of complex systems can be characterized by changes in the synchronization behavior of their components. Taking the human cardio-respiratory system as an…

cond-mat.stat-mech2004

Levels of Complexity in Scale-Invariant Neural Signals

Plamen Ch. Ivanov, Jeffrey M. Hausdorff, S. Havlin +5

Many physical and physiological signals exhibit complex scale-invariant features characterized by scaling and long-range power-law correlations, suggesting a possibly common…