TY  - JOUR
A1  - Topçu, Çağdaş
A1  - Frühwirth, Matthias
A1  - Moser, Maximilian
A1  - Rosenblum, Michael
A1  - Pikovskij, Arkadij
T1  - Disentangling respiratory sinus arrhythmia in heart rate variability records
JF  - Physiological Measurement
N2  - Objective: Several different measures of heart rate variability, and particularly of respiratory sinus arrhythmia, are widely used in research and clinical applications. For many purposes it is important to know which features of heart rate variability are directly related to respiration and which are caused by other aspects of cardiac dynamics. Approach: Inspired by ideas from the theory of coupled oscillators, we use simultaneous measurements of respiratory and cardiac activity to perform a nonlinear disentanglement of the heart rate variability into the respiratory-related component and the rest. Main results: The theoretical consideration is illustrated by the analysis of 25 data sets from healthy subjects. In all cases we show how the disentanglement is manifested in the different measures of heart rate variability. Significance: The suggested technique can be exploited as a universal preprocessing tool, both for the analysis of respiratory influence on the heart rate and in cases when effects of other factors on the heart rate variability are in focus.
KW  - respiratory sinus arrhythmia
KW  - heart rate variability
KW  - coupled oscillators model
KW  - phase dynamics
KW  - data analysis
Y1  - 2018
U6  - https://doi.org/10.1088/1361-6579/aabea4
SN  - 0967-3334
SN  - 1361-6579
VL  - 39
IS  - 5
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  - 
TY  - GEN
A1  - Topçu, Çağdaş
A1  - Frühwirth, Matthias
A1  - Moser, Maximilian
A1  - Rosenblum, Michael
A1  - Pikovskij, Arkadij
T1  - Disentangling respiratory sinus arrhythmia in heart rate variability records
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Objective: Several different measures of heart rate variability, and particularly of respiratory sinus arrhythmia, are widely used in research and clinical applications. For many purposes it is important to know which features of heart rate variability are directly related to respiration and which are caused by other aspects of cardiac dynamics. Approach: Inspired by ideas from the theory of coupled oscillators, we use simultaneous measurements of respiratory and cardiac activity to perform a nonlinear disentanglement of the heart rate variability into the respiratory-related component and the rest. Main results: The theoretical consideration is illustrated by the analysis of 25 data sets from healthy subjects. In all cases we show how the disentanglement is manifested in the different measures of heart rate variability. Significance: The suggested technique can be exploited as a universal preprocessing tool, both for the analysis of respiratory influence on the heart rate and in cases when effects of other factors on the heart rate variability are in focus.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 913 
KW  - respiratory sinus arrhythmia
KW  - heart rate variability
KW  - coupled oscillators model
KW  - phase dynamics
KW  - data analysis
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-436315
SN  - 1866-8372
IS  - 913
ER  - 
TY  - JOUR
A1  - Kralemann, Bjoern
A1  - Pikovskij, Arkadij
A1  - Rosenblum, Michael
T1  - Reconstructing effective phase connectivity of oscillator networks from observations
JF  - New journal of physics : the open-access journal for physics
N2  - We present a novel approach for recovery of the directional connectivity of a small oscillator network by means of the phase dynamics reconstruction from multivariate time series data. The main idea is to use a triplet analysis instead of the traditional pairwise one. Our technique reveals an effective phase connectivity which is generally not equivalent to a structural one. We demonstrate that by comparing the coupling functions from all possible triplets of oscillators, we are able to achieve in the reconstruction a good separation between existing and non-existing connections, and thus reliably reproduce the network structure.
KW  - network reconstruction
KW  - coupled oscillators
KW  - connectivity
KW  - data analysis
Y1  - 2014
U6  - https://doi.org/10.1088/1367-2630/16/8/085013
SN  - 1367-2630
VL  - 16
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  -