Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Topçu, Ç; Frühwirth, M; Moser, M; Rosenblum, M; Pikovsky, A.
Disentangling respiratory sinus arrhythmia in heart rate variability records.
Physiol Meas. 2018; 39(5):054002-054002
Doi: 10.1088/1361-6579/aabea4
[OPEN ACCESS]
Web of Science
PubMed
FullText
FullText_MUG
- Leading authors Med Uni Graz
- Topcu Cagdas
- Co-authors Med Uni Graz
- Moser Maximilian
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- 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. 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. 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. 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.
- Find related publications in this database (using NLM MeSH Indexing)
- Heart Rate -
- Humans -
- Models, Cardiovascular -
- Respiratory Sinus Arrhythmia - physiology
- Find related publications in this database (Keywords)
- respiratory sinus arrhythmia
- heart rate variability
- coupled oscillators model
- phase dynamics
- data analysis